diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..54b45e61b951dde25e8cf8bb59867d7b2db8617d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/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": "2026-05-19T16:21:47.869671+00:00", + "ended_at": "2026-05-19T16:21:51.190454+00:00", + "elapsed_ms": 3320.75, + "returncode": 1, + "prompt_metrics": { + "chars": 7987, + "bytes_utf8": 7987, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..da7e1d62ecc4aa845601ead5247ff5e0d5b7b2d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/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": "2026-05-19T16:21:52.192310+00:00", + "ended_at": "2026-05-19T16:21:55.554260+00:00", + "elapsed_ms": 3361.92, + "returncode": 1, + "prompt_metrics": { + "chars": 7987, + "bytes_utf8": 7987, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfcdd9b70686c3b0cc9730a7dbd20973a7defbdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfcdd9b70686c3b0cc9730a7dbd20973a7defbdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5890543ba9ec110eadde6ecb87d0e5d523b89fa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-1de8-7df0-824b-f726ca8d36dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..393d90f37604fc72fb3c6106b0ed5fb5f8270554 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-1de8-7df0-824b-f726ca8d36dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7374922ed629d2575e8b0f8b584b55f660cb079 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-2edc-73e0-ab92-d2a7f1e69bfc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5ca6f9ea8dafba3037e5838944ae79f2e6c795c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-2edc-73e0-ab92-d2a7f1e69bfc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/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/m11/artifacts/v2q_m11_00387b03f2f91c96/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00387b03f2f91c96/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/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..de333b51820eb15c0f4d19094016f1eb57885059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/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": "2026-05-19T16:15:47.003404+00:00", + "ended_at": "2026-05-19T16:15:50.965032+00:00", + "elapsed_ms": 3961.56, + "returncode": 1, + "prompt_metrics": { + "chars": 8128, + "bytes_utf8": 8128, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7812932023b05a7ed72e36c5e4603918cb6b205b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/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": "2026-05-19T16:15:51.967582+00:00", + "ended_at": "2026-05-19T16:15:55.590285+00:00", + "elapsed_ms": 3622.66, + "returncode": 1, + "prompt_metrics": { + "chars": 8128, + "bytes_utf8": 8128, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa114db15ee48b5834f1165f5b1e7efe307e30c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Policy_Sales_Channel.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Policy_Sales_Channel", + "predicate_col": "Driving_License", + "predicate_op": "=", + "predicate_value": "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa114db15ee48b5834f1165f5b1e7efe307e30c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Policy_Sales_Channel.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Policy_Sales_Channel", + "predicate_col": "Driving_License", + "predicate_op": "=", + "predicate_value": "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0c407c408550274f41c355c5423c02200627ca2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-9c4e-77d3-a9d0-8748927f980b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8c0d3c7eaa65059cdab56fda67090af045f6b13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-9c4e-77d3-a9d0-8748927f980b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..04c5b3225760ac9fcd74e7cb20119403d2e3252f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-afaf-7ef3-acfd-048370a78cbc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..55d9a1a22ffbe938fdc54dd3ec3f4070f0b79302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-afaf-7ef3-acfd-048370a78cbc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/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/m11/artifacts/v2q_m11_00a142c01d928022/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00a142c01d928022/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/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc65f173f6f6f27443177e61b3f5a11a3df34b47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/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": "2026-05-19T16:32:10.608188+00:00", + "ended_at": "2026-05-19T16:32:14.119351+00:00", + "elapsed_ms": 3511.12, + "returncode": 1, + "prompt_metrics": { + "chars": 7878, + "bytes_utf8": 7878, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09322829a76ff47f058b119cc17bc1fcb8f1492a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/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": "2026-05-19T16:32:15.122733+00:00", + "ended_at": "2026-05-19T16:32:18.471078+00:00", + "elapsed_ms": 3348.26, + "returncode": 1, + "prompt_metrics": { + "chars": 7878, + "bytes_utf8": 7878, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a59f66b1603d328ae5fa3ed0a275e09108ecfd5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a59f66b1603d328ae5fa3ed0a275e09108ecfd5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bbd0d45f6bc86d247694e7339c16d4b7e64bfa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-9ef6-7a93-a38f-e4b60da42af1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69a98b5d5e98670b4bcffea4f61bd69192a840d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-9ef6-7a93-a38f-e4b60da42af1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f58f5dae839a5b8f724a717cb8d983dcb13fdc02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-b091-7f62-a2cd-6896546ae913"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d25a648659797e25cf787ef851f264377d7a343e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-b091-7f62-a2cd-6896546ae913"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/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/m11/artifacts/v2q_m11_00ff11295d175ab8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_00ff11295d175ab8/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/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f26cb97d5bc3d72b63980ce4c215cf648ad10437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/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": "2026-05-19T16:27:14.214166+00:00", + "ended_at": "2026-05-19T16:27:17.377897+00:00", + "elapsed_ms": 3163.69, + "returncode": 1, + "prompt_metrics": { + "chars": 7752, + "bytes_utf8": 7752, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e4a3719c549d1fc1fef3b0c257696ade1ab18c61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/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": "2026-05-19T16:27:18.381090+00:00", + "ended_at": "2026-05-19T16:27:21.551405+00:00", + "elapsed_ms": 3170.25, + "returncode": 1, + "prompt_metrics": { + "chars": 7752, + "bytes_utf8": 7752, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d49bdf6bed8410c172b476eea6272d67e4b6563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Policy_Sales_Channel", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d49bdf6bed8410c172b476eea6272d67e4b6563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Policy_Sales_Channel", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..376465743b8b2badc78fe6e3dfe5ea31e6b0e24a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-1917-70f1-8201-1e30fa4f2a79"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9be0fa810c37c97d330383c6398d8669e1c4e7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-1917-70f1-8201-1e30fa4f2a79"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be52d27026f9daf6d8b47cf0e450fdff59112553 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-2971-7ba1-b7f8-c5b43b771885"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb9145a9413739d9831c328ac28089b13a4e50a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-2971-7ba1-b7f8-c5b43b771885"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/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/m11/artifacts/v2q_m11_03a3abdf1faf674f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_03a3abdf1faf674f/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/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..20b074f2791298d0eef46fe27c4473cb11bc07a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/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": "2026-05-19T16:24:33.507636+00:00", + "ended_at": "2026-05-19T16:24:36.986074+00:00", + "elapsed_ms": 3478.39, + "returncode": 1, + "prompt_metrics": { + "chars": 8064, + "bytes_utf8": 8064, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..24f3cb26d2ca610138238a80a9c6617dc91409c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/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": "2026-05-19T16:24:37.988642+00:00", + "ended_at": "2026-05-19T16:24:42.554915+00:00", + "elapsed_ms": 4566.2, + "returncode": 1, + "prompt_metrics": { + "chars": 8064, + "bytes_utf8": 8064, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c11fb0f8cef85f08acf4e76dfb92c1100c21de22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Policy_Sales_Channel, condition_col=Driving_License.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Policy_Sales_Channel", + "condition_col": "Driving_License", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c11fb0f8cef85f08acf4e76dfb92c1100c21de22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Policy_Sales_Channel, condition_col=Driving_License.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Policy_Sales_Channel", + "condition_col": "Driving_License", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fa61799404cc4fb2cfa70d171106b86720d93eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-a588-78a2-8e2d-0c7438a2ef27"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..40f77884d6f3e0a2ba682085a29140b38b8ab6b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-a588-78a2-8e2d-0c7438a2ef27"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d8a8cc7ba624ddb1f077d1c9bb563d1e9edb5f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-b6c9-7282-9656-15a3b5c57b5f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..125bcbdd916ccbbd879e2b4d229fca50eaf02a55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-b6c9-7282-9656-15a3b5c57b5f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/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/m11/artifacts/v2q_m11_07a9acc2da849254/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_07a9acc2da849254/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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ca54f76bde948b326b3ee9ec8913db13b99f6a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7814, "bytes_utf8": 7814, "lines": 240, "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": 7814, "bytes_utf8": 7814, "lines": 240, "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": 387, "bytes_utf8": 387, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14334, "cached_input_tokens": 12032, "output_tokens": 346, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4c7c9748910a2c6e641834b9b49a13ea5f89c0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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": "m11", + "model": "v2-cli:codex", + "run_id": "v2q_m11_0886f8dfc0f94dba", + "api_calls": 0, + "input_tokens": 14334, + "cached_input_tokens": 12032, + "output_tokens": 346, + "total_tokens": 14680, + "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": 11579.55, + "sql_execution_elapsed_ms_total": 219.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ebc7459bcdedc11b334f87cc20858e2ec69d0d79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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": "2026-05-19T16:08:43.515506+00:00", + "ended_at": "2026-05-19T16:08:46.283377+00:00", + "elapsed_ms": 2767.85, + "returncode": 1, + "prompt_metrics": { + "chars": 7814, + "bytes_utf8": 7814, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ce49f5711192186b5c4145fce75b12e2c6b7bdbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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": "2026-05-19T16:08:47.285039+00:00", + "ended_at": "2026-05-19T16:08:56.096773+00:00", + "elapsed_ms": 8811.7, + "prompt_metrics": { + "chars": 7814, + "bytes_utf8": 7814, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 753, + "bytes_utf8": 753, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 387, + "bytes_utf8": 387, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14334, + "cached_input_tokens": 12032, + "output_tokens": 346, + "reasoning_output_tokens": 240 + } + }, + "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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9b4f198eea963c7ac76236b8eb8137d1c49116e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9b4f198eea963c7ac76236b8eb8137d1c49116e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..149b28b4bf1e29d7559acd702e6fdfa1cd3c510f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-25f1-7982-9f22-2500b595616d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3a0cb714feac8ee606d7f56aaa2c44bdb1b6bb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-25f1-7982-9f22-2500b595616d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e2de5e071ed929f046b51ea046e9e03578f360f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-34d2-7a03-8937-b4cb227b128e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Region_Code\\\", SUM(CAST(\\\"Annual_Premium\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m11\\\"\\nGROUP BY \\\"Region_Code\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"Region_Code\\\" and measure_col=\\\"Annual_Premium\\\". Cast \\\"Annual_Premium\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14334,"cached_input_tokens":12032,"output_tokens":346,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ef4035d824880ebf9c8091961c12f05217669ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Region_Code\", SUM(CAST(\"Annual_Premium\" AS REAL)) AS \"total_measure\"\nFROM \"m11\"\nGROUP BY \"Region_Code\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped-sum template with group_col=\"Region_Code\" and measure_col=\"Annual_Premium\". Cast \"Annual_Premium\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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/m11/artifacts/v2q_m11_0886f8dfc0f94dba/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0886f8dfc0f94dba/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/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..08711ac557fd0297460fc990507777e72fe7d457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/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": "2026-05-19T16:26:43.112795+00:00", + "ended_at": "2026-05-19T16:26:46.535864+00:00", + "elapsed_ms": 3423.02, + "returncode": 1, + "prompt_metrics": { + "chars": 7719, + "bytes_utf8": 7719, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d5b02a20b45f8293ffec396b1eb2eb90c043c633 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/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": "2026-05-19T16:26:47.538287+00:00", + "ended_at": "2026-05-19T16:26:50.798396+00:00", + "elapsed_ms": 3260.05, + "returncode": 1, + "prompt_metrics": { + "chars": 7719, + "bytes_utf8": 7719, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a25f2956df626a0788f8800a58c6c15a9848721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a25f2956df626a0788f8800a58c6c15a9848721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa7f4df4d72555c057409a03572ffec7f4ba3e1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-9fbe-7e51-a83a-32d56cd5395c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..760566585a0cc1b8ffd24d716cc4687b5eae2de7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-9fbe-7e51-a83a-32d56cd5395c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fb25e965fc1736370a9e8b0dbf75a2f153c8292 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-b0f9-7c90-b1dc-ffd2b1106aab"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75d591e365f38382596784d4415eabeb57432665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-b0f9-7c90-b1dc-ffd2b1106aab"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/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/m11/artifacts/v2q_m11_0ba271a214fca5ff/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_0ba271a214fca5ff/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/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2971e447457ec254f3ad2d2a6102d3ce71ab6b10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/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": "2026-05-19T16:14:56.236814+00:00", + "ended_at": "2026-05-19T16:14:59.762166+00:00", + "elapsed_ms": 3525.32, + "returncode": 1, + "prompt_metrics": { + "chars": 8585, + "bytes_utf8": 8585, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..afff598bc13733996f1ec9b6dae2aacbc035887d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/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": "2026-05-19T16:15:00.764295+00:00", + "ended_at": "2026-05-19T16:15:03.997189+00:00", + "elapsed_ms": 3232.85, + "returncode": 1, + "prompt_metrics": { + "chars": 8585, + "bytes_utf8": 8585, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8322414e53c1f0dece358ba975f9b648badc9c4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Age, condition_col=Response.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Age", + "condition_col": "Response", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8322414e53c1f0dece358ba975f9b648badc9c4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Age, condition_col=Response.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Age", + "condition_col": "Response", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4dd872bab4c1bd11481df3e498c2e168c5b52c9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-d5fd-7ef3-aa49-eb7c30186fc8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6a9a2c685746cef0582d83adc0ebdadbaeca2c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-d5fd-7ef3-aa49-eb7c30186fc8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9e88edbaae7f8a01e155f9eb43b5589babd2666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-e797-7793-8f9f-9cb80d904ea1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c3ec006981ae0a7646908a8c770fad2bdc29dc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-e797-7793-8f9f-9cb80d904ea1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/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/m11/artifacts/v2q_m11_11498e2cca07da0e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_11498e2cca07da0e/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/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f8a246618089de243c0b7c1de7da8a1d649e05f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/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": "2026-05-19T16:11:40.437208+00:00", + "ended_at": "2026-05-19T16:11:43.229797+00:00", + "elapsed_ms": 2792.56, + "returncode": 1, + "prompt_metrics": { + "chars": 8194, + "bytes_utf8": 8194, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8745e78723c57552a905b4ceffdc17d0c3767657 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/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": "2026-05-19T16:11:44.231400+00:00", + "ended_at": "2026-05-19T16:11:46.972529+00:00", + "elapsed_ms": 2741.1, + "returncode": 1, + "prompt_metrics": { + "chars": 8194, + "bytes_utf8": 8194, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95c58f3d04401aed0c68cadf0234f3165c7bb5b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "item_col": "Region_Code", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..95c58f3d04401aed0c68cadf0234f3165c7bb5b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "item_col": "Region_Code", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d44c16a4553e3c53398e6194da8f2c91fb085ae8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d910-7983-889d-35f57a70bbac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9069f1ba3f3fb191b0eb51e2944d4021882e8de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d910-7983-889d-35f57a70bbac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ddf969c5b47342896a2f4aa072b9660fd5a8769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e7fc-7863-a056-41c18af3d275"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7a437e298973b15c640989b4469ae0a468f7575 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e7fc-7863-a056-41c18af3d275"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/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/m11/artifacts/v2q_m11_115eca2c9d7b13bd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_115eca2c9d7b13bd/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/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1445843c71c7aaf4276d2c507ecd661af101e4dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/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": "2026-05-19T16:14:17.634138+00:00", + "ended_at": "2026-05-19T16:14:20.441595+00:00", + "elapsed_ms": 2807.43, + "returncode": 1, + "prompt_metrics": { + "chars": 8619, + "bytes_utf8": 8619, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1cf1290b3a5fc2a3aca036d4b2d8f1645568347d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/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": "2026-05-19T16:14:21.443585+00:00", + "ended_at": "2026-05-19T16:14:24.628156+00:00", + "elapsed_ms": 3184.53, + "returncode": 1, + "prompt_metrics": { + "chars": 8619, + "bytes_utf8": 8619, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a88b6ff7e9ddee69d1a90d0b765ab550662c35e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Vehicle_Damage, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Vehicle_Damage", + "condition_col": "Gender", + "condition_value": "Male", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a88b6ff7e9ddee69d1a90d0b765ab550662c35e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Vehicle_Damage, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Vehicle_Damage", + "condition_col": "Gender", + "condition_value": "Male", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..265a0195ce66702035cec468a7d61104e0dea4d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-3f31-7013-8946-93bf3da98abd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a983cae18e649331240b918a55d0a880455e8c64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-4e0f-7053-b708-242d1e26b730"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9acf6f2efd99bdbfc0b7f530c5d42a030de4f215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-4e0f-7053-b708-242d1e26b730"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/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/m11/artifacts/v2q_m11_116c31cdbfc59a97/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_116c31cdbfc59a97/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/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e382f1ab39c1e5072f6efb60620c4561471cf290 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/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": "2026-05-19T16:17:16.223837+00:00", + "ended_at": "2026-05-19T16:17:19.992055+00:00", + "elapsed_ms": 3768.1, + "returncode": 1, + "prompt_metrics": { + "chars": 7975, + "bytes_utf8": 7975, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..80ffd81d8ed02d13aaed49f574c02ce9e2856f17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/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": "2026-05-19T16:17:20.994606+00:00", + "ended_at": "2026-05-19T16:17:26.708581+00:00", + "elapsed_ms": 5713.91, + "returncode": 1, + "prompt_metrics": { + "chars": 7975, + "bytes_utf8": 7975, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d7e8b0cb4916efaeadc45fa78ef1189c31c5bc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Annual_Premium.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d7e8b0cb4916efaeadc45fa78ef1189c31c5bc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Annual_Premium.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b97b1b8a033649918034b7ddd4939af6cfac520 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-f933-7050-a3b2-be35485213ce"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f52d60cb30affbb3570b89e13655c97d6c6c307e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-f933-7050-a3b2-be35485213ce"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da256fa50f8d8d1da63ab5aa66b9e8fdeab8df40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-0bbc-76e1-807b-da7f8d4ca506"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8802b272b3abdf60fc37fd8fbbe6df3ab683746 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-0bbc-76e1-807b-da7f8d4ca506"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/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/m11/artifacts/v2q_m11_15517721a45a31d9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_15517721a45a31d9/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/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1eee265e6d3b8c65e7599e1be56aff24ffd1f1a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/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": "2026-05-19T16:27:53.764132+00:00", + "ended_at": "2026-05-19T16:27:58.075356+00:00", + "elapsed_ms": 4311.18, + "returncode": 1, + "prompt_metrics": { + "chars": 7779, + "bytes_utf8": 7779, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ad288af64191b2c7d26a3b7a382ebc6e8678380 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/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": "2026-05-19T16:27:59.078832+00:00", + "ended_at": "2026-05-19T16:28:02.250111+00:00", + "elapsed_ms": 3171.23, + "returncode": 1, + "prompt_metrics": { + "chars": 7779, + "bytes_utf8": 7779, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9255ef2f7d580c1904bb47c946af430a75d23034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Gender.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Gender", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9255ef2f7d580c1904bb47c946af430a75d23034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Gender.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Gender", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6131e3b1c0f8e7598b1bdad32f9513a971b0324 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-b3ba-7863-b502-94e7f6141ca0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8281abe47c5bd30c67b95358f695c3e543b2402 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-b3ba-7863-b502-94e7f6141ca0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dd3899c8eb3db9cf171eb83d5050080ef45fe3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-c860-7c81-9790-ced6c219bd1e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..87efc6d96866b8c382e275fc7446f440f0293b7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-c860-7c81-9790-ced6c219bd1e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/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/m11/artifacts/v2q_m11_160ac39ed9c580c0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_160ac39ed9c580c0/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/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bb7bbd282292a9c20dc0597797c99225a547fd3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/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": "2026-05-19T16:24:01.934151+00:00", + "ended_at": "2026-05-19T16:24:05.213052+00:00", + "elapsed_ms": 3278.86, + "returncode": 1, + "prompt_metrics": { + "chars": 7988, + "bytes_utf8": 7988, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b03259fb45db5906160cddabdccef9cacf46d7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/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": "2026-05-19T16:24:06.215930+00:00", + "ended_at": "2026-05-19T16:24:09.410557+00:00", + "elapsed_ms": 3194.57, + "returncode": 1, + "prompt_metrics": { + "chars": 7988, + "bytes_utf8": 7988, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e04a79a961dd91cdf32bd0ef1061dc29fb6e5fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e04a79a961dd91cdf32bd0ef1061dc29fb6e5fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c700619480b156ae7cf977f023e59aafb5dd1d4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-2a04-7fe3-9af5-28e99fd85a28"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a05c3a6f1e89dd5701910d951b5fd26be6fe772 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-2a04-7fe3-9af5-28e99fd85a28"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b25517ad45c22f52fb8281fe22809b64c07cd89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-3aad-7cc3-a517-7af3aae9efad"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a60b852c35a9192bcb8e6c430dcbf686a078b8aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-3aad-7cc3-a517-7af3aae9efad"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/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/m11/artifacts/v2q_m11_169ec159f3c35a77/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_169ec159f3c35a77/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/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec599c0e7a515523d760b3122aa00d023c180a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/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": "2026-05-19T16:12:16.497799+00:00", + "ended_at": "2026-05-19T16:12:19.418398+00:00", + "elapsed_ms": 2920.57, + "returncode": 1, + "prompt_metrics": { + "chars": 8254, + "bytes_utf8": 8254, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3fed34f43bc22938cccfbaf81a4aef0dd27c5654 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/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": "2026-05-19T16:12:20.420534+00:00", + "ended_at": "2026-05-19T16:12:23.151506+00:00", + "elapsed_ms": 2730.93, + "returncode": 1, + "prompt_metrics": { + "chars": 8254, + "bytes_utf8": 8254, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..34ddbc8709792923700f33193a540243306fc36e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Policy_Sales_Channel, measure_col=Annual_Premium.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Annual_Premium", + "item_col": "Policy_Sales_Channel", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..34ddbc8709792923700f33193a540243306fc36e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Policy_Sales_Channel, measure_col=Annual_Premium.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Annual_Premium", + "item_col": "Policy_Sales_Channel", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2c2167b2ce34707b05c6145990c326a3a85b67d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-6602-7b90-a807-1564486ba7b8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce8e9299782af0daa0ea1d795d7e6f5071bf5c54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-6602-7b90-a807-1564486ba7b8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c20286dd3d5ec028c5b5c1bb5c42cdf0397e2226 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7532-7461-a802-fb97d89e9495"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9912ae0235af456fe61dd77111e096bae9dcb5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7532-7461-a802-fb97d89e9495"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/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/m11/artifacts/v2q_m11_171021ec891ef17e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_171021ec891ef17e/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/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a531ba2b7cefcf304d0aa514e2e23a99e983bd30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/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": "2026-05-19T16:18:18.691834+00:00", + "ended_at": "2026-05-19T16:18:22.276134+00:00", + "elapsed_ms": 3584.27, + "returncode": 1, + "prompt_metrics": { + "chars": 8354, + "bytes_utf8": 8354, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1d54a374f3d17b2fb64796a3632d252949432904 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/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": "2026-05-19T16:18:23.277908+00:00", + "ended_at": "2026-05-19T16:18:26.080434+00:00", + "elapsed_ms": 2802.49, + "returncode": 1, + "prompt_metrics": { + "chars": 8354, + "bytes_utf8": 8354, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bd548207ddb7342fca412752bd5dc53d57ccc1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Driving_License, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Driving_License", + "measure_col": "id", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bd548207ddb7342fca412752bd5dc53d57ccc1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Driving_License, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Driving_License", + "measure_col": "id", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b174b6c8edf5b8b71ab4f5ed224a625b1ffa2264 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-ecc1-7a41-95f6-36e98b362775"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7485b0a461a9a4e2e2022dc98587dd329929588c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-ecc1-7a41-95f6-36e98b362775"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7773507d30478c3cde9c2891bd22b9b41523d746 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-fed8-7eb2-991b-9e5ed0a529d5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7947c1f732b8358dc35b2e4e2fdeafab6fac4384 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-fed8-7eb2-991b-9e5ed0a529d5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/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/m11/artifacts/v2q_m11_198ba2aa198fe57b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_198ba2aa198fe57b/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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac5383099f51a8f0fcebac07986b5b05c1984a3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7793, "bytes_utf8": 7793, "lines": 240, "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": 7793, "bytes_utf8": 7793, "lines": 240, "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": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14331, "cached_input_tokens": 12032, "output_tokens": 434, "reasoning_output_tokens": 336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2823ce01d50a94dbb86be28bee42fb729e6bc215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/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": "m11", + "model": "v2-cli:codex", + "run_id": "v2q_m11_1aa325031dd3aae3", + "api_calls": 0, + "input_tokens": 14331, + "cached_input_tokens": 12032, + "output_tokens": 434, + "total_tokens": 14765, + "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": 12900.1, + "sql_execution_elapsed_ms_total": 175.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9c383ac02f675215459cbc04c80b855454c97be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:11.877783+00:00", + "ended_at": "2026-05-19T16:09:15.037242+00:00", + "elapsed_ms": 3159.43, + "returncode": 1, + "prompt_metrics": { + "chars": 7793, + "bytes_utf8": 7793, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..02087b373a7e844da81ad0d681f381fdd8a20601 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/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": "2026-05-19T16:09:16.039190+00:00", + "ended_at": "2026-05-19T16:09:25.779893+00:00", + "elapsed_ms": 9740.67, + "prompt_metrics": { + "chars": 7793, + "bytes_utf8": 7793, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 713, + "bytes_utf8": 713, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 359, + "bytes_utf8": 359, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14331, + "cached_input_tokens": 12032, + "output_tokens": 434, + "reasoning_output_tokens": 336 + } + }, + "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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d33779861b1e6657b8f6f3a0675c2e9c30f06fff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Vehicle_Age, measure_col=Vintage.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d33779861b1e6657b8f6f3a0675c2e9c30f06fff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Vehicle_Age, measure_col=Vintage.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..248d7ba52cb096d197db3c8ae18f48cd1421b2f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-94dd-71e0-952d-ca41b29d853e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..074e8f1566c72da9d08e50155ac079ec46f8cf82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-94dd-71e0-952d-ca41b29d853e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..665d2326fb0054973f7cafcdd22490b8ee431a2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a4fa-7d11-b515-bb93acd43e1a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Vehicle_Age\\\", SUM(CAST(\\\"Vintage\\\" AS REAL)) AS total_measure\\nFROM \\\"m11\\\"\\nGROUP BY \\\"Vehicle_Age\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested grouped numeric-sum template with \\\"Vehicle_Age\\\" as the grouping column and cast text-typed \\\"Vintage\\\" to REAL so SQLite sums it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14331,"cached_input_tokens":12032,"output_tokens":434,"reasoning_output_tokens":336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e46da26a5ffd7fac0d81bf5597a287ab82cf879 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Vehicle_Age\", SUM(CAST(\"Vintage\" AS REAL)) AS total_measure\nFROM \"m11\"\nGROUP BY \"Vehicle_Age\"\nORDER BY total_measure DESC;","notes":"Used the requested grouped numeric-sum template with \"Vehicle_Age\" as the grouping column and cast text-typed \"Vintage\" to REAL so SQLite sums it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/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/m11/artifacts/v2q_m11_1aa325031dd3aae3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1aa325031dd3aae3/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/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d2ae2e927c23d5e065353b6317be36e9c1080c1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/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": "2026-05-19T16:08:14.616197+00:00", + "ended_at": "2026-05-19T16:08:17.642900+00:00", + "elapsed_ms": 3026.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7773, + "bytes_utf8": 7773, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..017f72b8dfc7f9d9ff764508db84dcfea403afa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/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": "2026-05-19T16:08:18.644974+00:00", + "ended_at": "2026-05-19T16:08:21.950131+00:00", + "elapsed_ms": 3305.1, + "returncode": 1, + "prompt_metrics": { + "chars": 7773, + "bytes_utf8": 7773, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66fa253126611e1c6c62e496e3c62420b88a620a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Age, measure_col=Age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Age", + "measure_col": "Age", + "top_k": 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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66fa253126611e1c6c62e496e3c62420b88a620a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Age, measure_col=Age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Age", + "measure_col": "Age", + "top_k": 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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4844e70d580f2cd5701aa755dc489b7368fefba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b524-7f13-ac75-7b2b17c249f5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ced34d2689896a37b4c97c3a8113549e495dc29e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b524-7f13-ac75-7b2b17c249f5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a04cac1c3282d172de065d89e2167d8a251ff29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c4d5-7250-a1f8-1c69d1c8ef31"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b305d04ba0f8683ac2dc13dddd4c5c880162184d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c4d5-7250-a1f8-1c69d1c8ef31"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/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/m11/artifacts/v2q_m11_1eea9e88d41cf026/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1eea9e88d41cf026/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/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ef363894b80869ff50c23a6a313eee95d2f356f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/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": "2026-05-19T16:10:32.731523+00:00", + "ended_at": "2026-05-19T16:10:35.867705+00:00", + "elapsed_ms": 3136.15, + "returncode": 1, + "prompt_metrics": { + "chars": 7705, + "bytes_utf8": 7705, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d6f59146935d7f164affea53cdc3f90aa2b2b34b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/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": "2026-05-19T16:10:36.869866+00:00", + "ended_at": "2026-05-19T16:10:40.462379+00:00", + "elapsed_ms": 3592.47, + "returncode": 1, + "prompt_metrics": { + "chars": 7705, + "bytes_utf8": 7705, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0edb7a5875b70a67fe324ae7437ca3e05a39bdfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Region_Code.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Region_Code", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0edb7a5875b70a67fe324ae7437ca3e05a39bdfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Region_Code.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Region_Code", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0e02d689bc06fbf8a09ebb5f2fe463d19dd1681 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-d099-7301-a372-f6a98b341af4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2ba2866166c8b7e411d63cf93882ee9c8125518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-d099-7301-a372-f6a98b341af4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e2ad4331b718ac379632024b4d56d61253e6b39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-e0da-7833-b19f-66ea08e822b4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c720bc159d34e5138b55dc2f6892d4866388c683 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-e0da-7833-b19f-66ea08e822b4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/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/m11/artifacts/v2q_m11_1f2e91c7a1546020/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_1f2e91c7a1546020/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/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..669d7e79bfb06849c5deffc107dd5e700cfb0302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/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": "2026-05-19T16:16:51.346624+00:00", + "ended_at": "2026-05-19T16:16:54.986153+00:00", + "elapsed_ms": 3639.48, + "returncode": 1, + "prompt_metrics": { + "chars": 7953, + "bytes_utf8": 7953, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..108f0a8233e807efca98889cd1c57ca0b630338c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/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": "2026-05-19T16:16:55.988405+00:00", + "ended_at": "2026-05-19T16:16:59.715956+00:00", + "elapsed_ms": 3727.5, + "returncode": 1, + "prompt_metrics": { + "chars": 7953, + "bytes_utf8": 7953, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b162930fba8e8f04b3e9565d57357edbb5bf9b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "id", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b162930fba8e8f04b3e9565d57357edbb5bf9b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "id", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..176d31e571653971de6c1807502771fe30acf1d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-97f9-7ef3-bf3a-a22779f18a06"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..943695fe8ea7fee357e8aebef52efacd2d7ea2e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-97f9-7ef3-bf3a-a22779f18a06"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87e546f5d6422c5f74cf424c56accb69100de98b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-aa19-7893-8dbd-cd3ec5306c32"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c89ad1b4ebc7dd2d021f0bfebdffa28fe87efc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-aa19-7893-8dbd-cd3ec5306c32"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/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/m11/artifacts/v2q_m11_2212f59d773fafa3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2212f59d773fafa3/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/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..aba5d6883299a1f1e72dc7130b606bec7fd1937d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/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": "2026-05-19T16:28:40.467691+00:00", + "ended_at": "2026-05-19T16:28:43.775809+00:00", + "elapsed_ms": 3308.07, + "returncode": 1, + "prompt_metrics": { + "chars": 7788, + "bytes_utf8": 7788, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8e253365558ae3cbb95a7d7b69a48d970e90742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/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": "2026-05-19T16:28:44.778829+00:00", + "ended_at": "2026-05-19T16:28:48.265421+00:00", + "elapsed_ms": 3486.52, + "returncode": 1, + "prompt_metrics": { + "chars": 7788, + "bytes_utf8": 7788, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7dd4b1a07e0d853bf57526e35ee588d158042e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Region_Code.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Region_Code", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7dd4b1a07e0d853bf57526e35ee588d158042e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Region_Code.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Region_Code", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..972ca2b7cb2cc2730f30514fba5d018b206b563e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-6a11-75c2-9083-3ea379405d79"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ae33c099adc3316e9fa333c27c66340da46fa2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-6a11-75c2-9083-3ea379405d79"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7294915190b63dad414cc251bd789d13979adb93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-7b09-7a52-945d-de39e47c9096"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3342d33a9fc3ce6c8887e888914f2fe3cb1e0f2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-7b09-7a52-945d-de39e47c9096"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/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/m11/artifacts/v2q_m11_2a3d112e1e9c3869/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2a3d112e1e9c3869/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/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a737be39c9ea53568be29b72c6deb8cc6ae97b02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/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": "2026-05-19T16:29:20.596559+00:00", + "ended_at": "2026-05-19T16:29:23.920351+00:00", + "elapsed_ms": 3323.75, + "returncode": 1, + "prompt_metrics": { + "chars": 7787, + "bytes_utf8": 7787, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90dae1e582d6b8abf83d48e4be1763984f9f8243 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/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": "2026-05-19T16:29:24.922439+00:00", + "ended_at": "2026-05-19T16:29:28.128205+00:00", + "elapsed_ms": 3205.71, + "returncode": 1, + "prompt_metrics": { + "chars": 7787, + "bytes_utf8": 7787, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70be2756c9cef489e9ac0aef6f4615561586b25b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Vehicle_Age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Vehicle_Age", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..70be2756c9cef489e9ac0aef6f4615561586b25b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Vehicle_Age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Vehicle_Age", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd76f8da47d8e06a8f31ccec41b8f60485a0c289 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-06c9-79a0-9d9b-752ed63d8c1e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4a2f4ad3550832d735ee89ccebf04b5880412fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-06c9-79a0-9d9b-752ed63d8c1e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb828eb12818fe590aa4c0d17779f53e2fbef561 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-17b7-7231-8752-c50ca9a41fb9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..86082b00a63b29ef256e31baed77e5c0b5cd08d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-17b7-7231-8752-c50ca9a41fb9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/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/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2d4bdfa5f23be21c/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/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc6b8e4890ffb8996b13e8310ee8612575d441ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/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": "2026-05-19T16:20:21.349864+00:00", + "ended_at": "2026-05-19T16:20:24.928733+00:00", + "elapsed_ms": 3578.84, + "returncode": 1, + "prompt_metrics": { + "chars": 8350, + "bytes_utf8": 8350, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d60977375c127cc5d6ee8ccb6172f2351865b6e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/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": "2026-05-19T16:20:25.930312+00:00", + "ended_at": "2026-05-19T16:20:29.187553+00:00", + "elapsed_ms": 3257.21, + "returncode": 1, + "prompt_metrics": { + "chars": 8350, + "bytes_utf8": 8350, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab30ae4ae60104e4ac9bc582ba1fda23cba3daad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab30ae4ae60104e4ac9bc582ba1fda23cba3daad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e889f835a92ceebab5d3abafc903c71f60bc9d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-cbe2-7422-95e2-888d26529398"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fdc3a113580c88b13e7d866a3df3e00d4f695a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-cbe2-7422-95e2-888d26529398"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2b354adc7421289025a5044d589e1404b6c3ffd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-dde3-7482-acb0-71b1e66a5283"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8e80b2125bf9c2009afb37c391f575498ba0b91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-dde3-7482-acb0-71b1e66a5283"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/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/m11/artifacts/v2q_m11_2f7b3680eaa12084/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f7b3680eaa12084/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/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bc2cec05809eccbbe413cba7ae583761c380833 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/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": "2026-05-19T16:12:45.820547+00:00", + "ended_at": "2026-05-19T16:12:49.095978+00:00", + "elapsed_ms": 3275.41, + "returncode": 1, + "prompt_metrics": { + "chars": 8195, + "bytes_utf8": 8195, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5acac26c6c13e06631de233fa85fcdcfbdfd260d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:12:50.097434+00:00", + "ended_at": "2026-05-19T16:12:53.117332+00:00", + "elapsed_ms": 3019.87, + "returncode": 1, + "prompt_metrics": { + "chars": 8195, + "bytes_utf8": 8195, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..39a17f6a562c754a73016bb752df5c49c47d0d66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Response, measure_col=Vintage.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Response", + "measure_col": "Vintage", + "item_col": "id", + "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": 64.16, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..39a17f6a562c754a73016bb752df5c49c47d0d66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Response, measure_col=Vintage.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Response", + "measure_col": "Vintage", + "item_col": "id", + "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": 64.16, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69b19530b6e6fe1b5ff2f0f0a7926fe41fc610e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-d870-7f12-accc-d280723f25aa"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1da1ff71514a43ab13a311999dd57b1a05feea96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-d870-7f12-accc-d280723f25aa"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..986e2e32e5ecb4f3cd335ee8edf8b191da2c8181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-e929-75a1-ac27-585211595d4e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a95807d26d2ba207fba56518de3eea2f5fbf5f45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-e929-75a1-ac27-585211595d4e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/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/m11/artifacts/v2q_m11_2f844b8e58a096a7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_2f844b8e58a096a7/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/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..67cb5b4dd4728dd8be4a88ceb43c3e12e801bc1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:31:09.107950+00:00", + "ended_at": "2026-05-19T16:31:12.512304+00:00", + "elapsed_ms": 3404.32, + "returncode": 1, + "prompt_metrics": { + "chars": 7913, + "bytes_utf8": 7913, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d6247dc4725db9bde0621483ed459bb78eda5d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:31:13.514979+00:00", + "ended_at": "2026-05-19T16:31:16.844838+00:00", + "elapsed_ms": 3329.77, + "returncode": 1, + "prompt_metrics": { + "chars": 7913, + "bytes_utf8": 7913, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..681103d3e64f664a1da5ba955ec7be6ecdba45fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..681103d3e64f664a1da5ba955ec7be6ecdba45fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..423dde67aab6c03b0770bf61982cc705089d0feb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-aea8-76b0-b4dd-920303c2341a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..866bb5892647bdcbf9bb0a8f0dd1b864c121591b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-aea8-76b0-b4dd-920303c2341a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44aeb156819efeae6c3f58e6419d520f99c0fbde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-bfbf-7d81-8632-da836a9d4dd2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..535b455562aa5ab3c93c3c7efaac36cfede0579c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-bfbf-7d81-8632-da836a9d4dd2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/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/m11/artifacts/v2q_m11_328d636a6be4f4e9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_328d636a6be4f4e9/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/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b430ac203536fdb8debbf3a4f89d953385ac2998 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/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": "2026-05-19T16:26:58.025458+00:00", + "ended_at": "2026-05-19T16:27:01.660624+00:00", + "elapsed_ms": 3635.13, + "returncode": 1, + "prompt_metrics": { + "chars": 7733, + "bytes_utf8": 7733, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..857173c2bf896f5787ff3ca33d140fbc0af91aa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/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": "2026-05-19T16:27:02.663523+00:00", + "ended_at": "2026-05-19T16:27:06.174396+00:00", + "elapsed_ms": 3510.82, + "returncode": 1, + "prompt_metrics": { + "chars": 7733, + "bytes_utf8": 7733, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..973759cf5ccf925de9a841b1f0a3903b9fbe1b73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region_Code.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..973759cf5ccf925de9a841b1f0a3903b9fbe1b73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region_Code.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2582de5095f0218d13766ee7a659c6138f23891b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-d9d0-7932-9ba2-cc0a3432898a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..861f9d439e56330abe7332a0a3b933ebb55b1e27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-d9d0-7932-9ba2-cc0a3432898a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2df5f27842410a06180f067a4328347987f97c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-ebe8-7353-bfe1-b2d81839d447"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e96c08899f87b14d219ec70ccdba58bc8c46b75c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-ebe8-7353-bfe1-b2d81839d447"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/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/m11/artifacts/v2q_m11_32aa052b34638e98/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_32aa052b34638e98/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/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9cbffa21cada6e274a7d6e7989da6fcda6234b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/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": "2026-05-19T16:18:33.210301+00:00", + "ended_at": "2026-05-19T16:18:35.937604+00:00", + "elapsed_ms": 2727.28, + "returncode": 1, + "prompt_metrics": { + "chars": 8343, + "bytes_utf8": 8343, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61c657b7de96ab8bf8fa234a5c325686e839dcc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/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": "2026-05-19T16:18:36.939143+00:00", + "ended_at": "2026-05-19T16:18:39.760623+00:00", + "elapsed_ms": 2821.45, + "returncode": 1, + "prompt_metrics": { + "chars": 8343, + "bytes_utf8": 8343, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18c07aec1c06ebd7e5c49749f7a0fdbfab7d531f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Region_Code, measure_col=Age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Region_Code", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18c07aec1c06ebd7e5c49749f7a0fdbfab7d531f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Region_Code, measure_col=Age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Region_Code", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a670d05774899214132efc676e9c40550b5c81de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-258b-75e3-b010-4cf6331e7920"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..710b4c385da1c5a2b9eed5fcdd62a9a446a336dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-258b-75e3-b010-4cf6331e7920"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..589b02cfde55ec490810c0e62bfc23fda072d87c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-3414-7160-85b7-a9c208916cc4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9af14d9342f4ed0bfe0e38cac109b036b304c983 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-3414-7160-85b7-a9c208916cc4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/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/m11/artifacts/v2q_m11_35b17b95f80e0900/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_35b17b95f80e0900/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/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5dc19d9bdebc39772207c86aecd201be5a09e584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/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": "2026-05-19T16:13:41.666369+00:00", + "ended_at": "2026-05-19T16:13:44.738041+00:00", + "elapsed_ms": 3071.6, + "returncode": 1, + "prompt_metrics": { + "chars": 8228, + "bytes_utf8": 8228, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82b3540291c7a30e7f472dc8c5637b0b79f78fdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/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": "2026-05-19T16:13:45.739687+00:00", + "ended_at": "2026-05-19T16:13:48.983421+00:00", + "elapsed_ms": 3243.7, + "returncode": 1, + "prompt_metrics": { + "chars": 8228, + "bytes_utf8": 8228, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a3eeb1157d2823e72d2aae85aafe1b5c7118015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "item_col": "Policy_Sales_Channel", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a3eeb1157d2823e72d2aae85aafe1b5c7118015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "item_col": "Policy_Sales_Channel", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a0764045d932437edbeec9537f400d795eef3fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-b297-7160-b6bb-e4a4d0ab40e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1929188d181c38f8111e8eaaa3ea5ce7ce48bb6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-b297-7160-b6bb-e4a4d0ab40e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d64f159bf21f616454f2f42f38a8c15172f1866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-c292-7f82-bc32-049895383dc0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f37522e0d12c92bfce86896b527668635d2e07f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-c292-7f82-bc32-049895383dc0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/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/m11/artifacts/v2q_m11_3631dfa120c91f5f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3631dfa120c91f5f/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/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..47dbae1096256b74af62431ff1e2a7cbfda6d464 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/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": "2026-05-19T16:11:53.880356+00:00", + "ended_at": "2026-05-19T16:11:56.678907+00:00", + "elapsed_ms": 2798.52, + "returncode": 1, + "prompt_metrics": { + "chars": 8224, + "bytes_utf8": 8224, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5dbd534e8024ffd82673a3a4fdd42639ddbaa195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/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": "2026-05-19T16:11:57.681466+00:00", + "ended_at": "2026-05-19T16:12:00.872534+00:00", + "elapsed_ms": 3191.02, + "returncode": 1, + "prompt_metrics": { + "chars": 8224, + "bytes_utf8": 8224, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb06f73f74e247b4734e8ddb4eb96558a3d211ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "item_col": "Annual_Premium", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb06f73f74e247b4734e8ddb4eb96558a3d211ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "item_col": "Annual_Premium", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eba0c2372a21f12b5d16ffe3b297efb1796b8302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-0d8e-7090-8a57-8fb1e889e0a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8aca47ee10d8af311d89e34ee8fed392a193919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-0d8e-7090-8a57-8fb1e889e0a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..515425f621d56cc56551b9d5f1fff60bec7b2c50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-1c6b-7b43-b580-c78935d94efc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9444be0e0d68d5bede5489ef79b05aa0522f8dcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-1c6b-7b43-b580-c78935d94efc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/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/m11/artifacts/v2q_m11_38445c7160e6e7e1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_38445c7160e6e7e1/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/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..547b47d6e7e6d7131f747c171fda8b8cef6f3221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/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": "2026-05-19T16:20:10.921489+00:00", + "ended_at": "2026-05-19T16:20:17.526127+00:00", + "elapsed_ms": 6604.62, + "returncode": 1, + "prompt_metrics": { + "chars": 8346, + "bytes_utf8": 8346, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a8095df4b8e665f7f04015941c3dd134fb8e9425 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/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": "2026-05-19T16:20:18.528357+00:00", + "ended_at": "2026-05-19T16:20:21.337931+00:00", + "elapsed_ms": 2809.53, + "returncode": 1, + "prompt_metrics": { + "chars": 8346, + "bytes_utf8": 8346, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6287b9f23dcccc51f8aada8dd1583210ac840b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6287b9f23dcccc51f8aada8dd1583210ac840b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb7341fe4b9c847a5e62d9b28fa3d685380fe21d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-a339-7663-96af-092c532653f0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79ef35fa6ed190bf399c31a0404b02aea12ad32e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-a339-7663-96af-092c532653f0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..99cec7f35ca3a41ef039223a88174bc5c835a43f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-c0ee-73e1-9b6c-1375e68038e7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..11bffcf41163a084f40f6fb79e06118b1b37ca0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-c0ee-73e1-9b6c-1375e68038e7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/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/m11/artifacts/v2q_m11_3861ce72b35daaf2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3861ce72b35daaf2/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/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..635b5f45769b93bfe145832432eba112812bdcae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/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": "2026-05-19T16:11:26.113367+00:00", + "ended_at": "2026-05-19T16:11:28.886681+00:00", + "elapsed_ms": 2773.29, + "returncode": 1, + "prompt_metrics": { + "chars": 8207, + "bytes_utf8": 8207, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..80357cfe1c93470edbf2dbfaaaafbd3de6ba1ad4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/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": "2026-05-19T16:11:29.888768+00:00", + "ended_at": "2026-05-19T16:11:33.147038+00:00", + "elapsed_ms": 3258.19, + "returncode": 1, + "prompt_metrics": { + "chars": 8207, + "bytes_utf8": 8207, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3ce88e1ea2fcc6ffb1efd498617cc9b6f72631a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "item_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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3ce88e1ea2fcc6ffb1efd498617cc9b6f72631a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "item_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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05d8072829b47dc9d57d33370f975ec180e79985 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-a114-7ac1-bbec-1ec9f4788864"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2dd15e7fde0a6cb59fbb96ab4ebde03e4309509 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-a114-7ac1-bbec-1ec9f4788864"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd724b9284b33923ba621877f9d23c3e4c454828 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-affc-7312-8259-a23e5b6c17e4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fea865d640f49065b744ae36cf98c851dd0b9b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-affc-7312-8259-a23e5b6c17e4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/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/m11/artifacts/v2q_m11_3e4f6a0c94e28927/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_3e4f6a0c94e28927/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/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ea215d189cf247730cd1a25f8a35d00269a0706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/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": "2026-05-19T16:17:54.284501+00:00", + "ended_at": "2026-05-19T16:17:59.094201+00:00", + "elapsed_ms": 4809.65, + "returncode": 1, + "prompt_metrics": { + "chars": 7950, + "bytes_utf8": 7950, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c43601fe0a23f3af3a0b45cf5566dba51ba187c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/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": "2026-05-19T16:18:00.096822+00:00", + "ended_at": "2026-05-19T16:18:03.716811+00:00", + "elapsed_ms": 3619.92, + "returncode": 1, + "prompt_metrics": { + "chars": 7950, + "bytes_utf8": 7950, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24b937f53afd3577d8fea3a5437e0077c267b9d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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": 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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..24b937f53afd3577d8fea3a5437e0077c267b9d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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": 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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e54a9208d12c92e7d2047713a21fbfa381fc4be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-8dfb-76e1-a204-7d58b88099e9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17a6f8b38159bda010d4ac73867b72d8fd9dbd80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-8dfb-76e1-a204-7d58b88099e9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9eaea5f0de2288c2bea69d66bbbed219ee199f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-a47d-7852-a513-7ad187cbcda9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf07c1f4230478e4c541f721c75dde783aa9e182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-a47d-7852-a513-7ad187cbcda9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/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/m11/artifacts/v2q_m11_40b327153b7e797a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_40b327153b7e797a/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/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4a0e365a9a7f2cafeafffc78c034e012a791b6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/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": "2026-05-19T16:09:04.567145+00:00", + "ended_at": "2026-05-19T16:09:07.524658+00:00", + "elapsed_ms": 2957.48, + "returncode": 1, + "prompt_metrics": { + "chars": 7837, + "bytes_utf8": 7837, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5536c03134d31bbb2e708f8eb3b100dab1622072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/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": "2026-05-19T16:09:08.526759+00:00", + "ended_at": "2026-05-19T16:09:11.865457+00:00", + "elapsed_ms": 3338.67, + "returncode": 1, + "prompt_metrics": { + "chars": 7837, + "bytes_utf8": 7837, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeb921c805667cff30d121d648f66789a82ec420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Previously_Insured, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "Policy_Sales_Channel", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeb921c805667cff30d121d648f66789a82ec420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Previously_Insured, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "Policy_Sales_Channel", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d38efa051100f73c5708485f619b4aef203d9579 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7851-7862-8574-be02cb690f16"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..866c6784cc92ee3ee70672767e1da6b6faa3aacf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7851-7862-8574-be02cb690f16"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bdaf79829b0ab5d3355fc972acb8a51f9b5afdef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-87b7-7651-9969-8a6ade023c3c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..225b9348c5b5f0d3046c52677e0e259899594048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-87b7-7651-9969-8a6ade023c3c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/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/m11/artifacts/v2q_m11_41238af5c1780516/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_41238af5c1780516/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/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4113b299100d897c956fd6c81a513a07fc35eaa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/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": "2026-05-19T16:20:29.199373+00:00", + "ended_at": "2026-05-19T16:20:33.722210+00:00", + "elapsed_ms": 4522.8, + "returncode": 1, + "prompt_metrics": { + "chars": 8350, + "bytes_utf8": 8350, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c38fc69b0b2c025b65dd27da46b04f1aa77cbc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/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": "2026-05-19T16:20:34.724481+00:00", + "ended_at": "2026-05-19T16:20:42.595114+00:00", + "elapsed_ms": 7870.58, + "returncode": 1, + "prompt_metrics": { + "chars": 8350, + "bytes_utf8": 8350, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc525f20b4c6d4c8c38d3159ff19aed2da6e1e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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=Annual_Premium.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Age", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc525f20b4c6d4c8c38d3159ff19aed2da6e1e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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=Annual_Premium.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Age", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23365d312f75958413e02fd2c849793412937ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-ea94-7e53-9e33-84167450f37a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd53e31a34421a118e8fe4ce33de07ccb878bc97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-ea94-7e53-9e33-84167450f37a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..32dfe1249fdd4075eb9031dedec81d37e4a8b0d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-002d-77d1-b172-0c89efe45e0d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8453d465c8f1e7468e9c51d26fe6b670844d47c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-002d-77d1-b172-0c89efe45e0d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/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/m11/artifacts/v2q_m11_42793e10793a86ed/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_42793e10793a86ed/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/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..48fca8c9750d6ee15322c3a177487fef96fb4165 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/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": "2026-05-19T16:11:46.984714+00:00", + "ended_at": "2026-05-19T16:11:50.006826+00:00", + "elapsed_ms": 3022.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8202, + "bytes_utf8": 8202, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d99174a833034ca754449563248e72cec0ea7a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:11:51.009516+00:00", + "ended_at": "2026-05-19T16:11:53.866839+00:00", + "elapsed_ms": 2857.29, + "returncode": 1, + "prompt_metrics": { + "chars": 8202, + "bytes_utf8": 8202, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6dc1b19b205c5847f547b719624ecae1d1c444f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "item_col": "Region_Code", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6dc1b19b205c5847f547b719624ecae1d1c444f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "item_col": "Region_Code", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cac1223416a57a6a07eae246f720a2522fc5a27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-f298-7901-b2da-8500a3408e54"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07d2c6e304f5aaa63ab3758204b141fa2d77443d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-f298-7901-b2da-8500a3408e54"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a71e13e0a02f30bd47ccfa90553cf45f1db837a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-0281-7141-b9e0-75d998873d40"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e88be71cd272e4ae24c36d803abd99911977f56d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-0281-7141-b9e0-75d998873d40"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/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/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4324d6d63aa4e8ce/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/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ca38159354b00dd36fe326c009372f24ef1f9e0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:22:06.734899+00:00", + "ended_at": "2026-05-19T16:22:10.024342+00:00", + "elapsed_ms": 3289.41, + "returncode": 1, + "prompt_metrics": { + "chars": 8006, + "bytes_utf8": 8006, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b62252ec879e95e0b87001884f24282691ab721c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:22:11.026602+00:00", + "ended_at": "2026-05-19T16:22:14.334598+00:00", + "elapsed_ms": 3307.93, + "returncode": 1, + "prompt_metrics": { + "chars": 8006, + "bytes_utf8": 8006, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5197af8793bf31edded190f7c8afb908cbd6d8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Policy_Sales_Channel, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5197af8793bf31edded190f7c8afb908cbd6d8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Policy_Sales_Channel, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40c279796f8f0c5ed75f5755a64ee25ca518a06f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-678f-7253-a6dd-4356fda8b121"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bedfd507dbef77a9c547f5855aea18c1ba9cc141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-678f-7253-a6dd-4356fda8b121"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..296ea799dc72aa6d5082dac9a502e2efab69affc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-78d3-7a73-bb33-74cf036cd572"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..522a1dd4f6429f7cb23cfb5fbfae8a74c28f3b45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-78d3-7a73-bb33-74cf036cd572"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/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/m11/artifacts/v2q_m11_441cea414315cf70/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_441cea414315cf70/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/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1f7adbd91dfdc3c97f06f05bf62c2effcdbac9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/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": "2026-05-19T16:23:52.498610+00:00", + "ended_at": "2026-05-19T16:23:57.340332+00:00", + "elapsed_ms": 4841.67, + "returncode": 1, + "prompt_metrics": { + "chars": 7990, + "bytes_utf8": 7990, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be718767467481279477a70ba4e01ca652c878b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/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": "2026-05-19T16:23:58.342980+00:00", + "ended_at": "2026-05-19T16:24:01.915203+00:00", + "elapsed_ms": 3572.14, + "returncode": 1, + "prompt_metrics": { + "chars": 7990, + "bytes_utf8": 7990, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af52c2852b12b8655d09b41d5d7d3653f38d15f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Driving_License, measure_col=Region_Code.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Driving_License", + "measure_col": "Region_Code", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af52c2852b12b8655d09b41d5d7d3653f38d15f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Driving_License, measure_col=Region_Code.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Driving_License", + "measure_col": "Region_Code", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..85892b98f09809b20e87dce2af57f659c9d3ae2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-051c-79e0-bdb8-fd2628e7711a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6845e955f35fce14efe31a768c4520a740bd99da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-051c-79e0-bdb8-fd2628e7711a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..249883538f354a379c63ff859d8326218a85a734 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-1c13-7ff3-81b1-f290d8755a6f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f2a6c238faa97cc7039454361d536f69cba6e59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-1c13-7ff3-81b1-f290d8755a6f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/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/m11/artifacts/v2q_m11_46db1b39c548c8e5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_46db1b39c548c8e5/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/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f928757954f158067e3f1e0dcc9365340d3a7690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/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": "2026-05-19T16:24:25.289916+00:00", + "ended_at": "2026-05-19T16:24:28.763549+00:00", + "elapsed_ms": 3473.58, + "returncode": 1, + "prompt_metrics": { + "chars": 8062, + "bytes_utf8": 8062, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed4e4751c85d2a9d64b53ca2fc786091b65dba3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/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": "2026-05-19T16:24:29.766079+00:00", + "ended_at": "2026-05-19T16:24:33.489117+00:00", + "elapsed_ms": 3722.98, + "returncode": 1, + "prompt_metrics": { + "chars": 8062, + "bytes_utf8": 8062, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecad3c0145b629229abfdf5271da6cb48040e38c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vehicle_Damage, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Vehicle_Damage", + "condition_col": "Gender", + "condition_value": "Female", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecad3c0145b629229abfdf5271da6cb48040e38c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vehicle_Damage, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Vehicle_Damage", + "condition_col": "Gender", + "condition_value": "Female", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..09fe19050e73dcc0de749261a9ba47799f4d9266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-8586-7cb1-b2fa-64ef3cedeeb9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd8dec1fc0ff8b5b893a48254db34f771264da44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-8586-7cb1-b2fa-64ef3cedeeb9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a21e5979edbb9c9b715df0c6b8c3b49195eeb897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-96be-79a0-af8a-3d4557439b71"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..26a1137ea634dba37d9fbe60c7d7eb3428bc74c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-96be-79a0-af8a-3d4557439b71"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/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/m11/artifacts/v2q_m11_4f2c43679a0ef482/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_4f2c43679a0ef482/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/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3d90aca6e05e0c342056ddfc5b4718a1d2193b52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:16.747647+00:00", + "ended_at": "2026-05-19T16:10:19.911623+00:00", + "elapsed_ms": 3163.95, + "returncode": 1, + "prompt_metrics": { + "chars": 7796, + "bytes_utf8": 7796, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0063020bc1963fc093c31aa3ae2a368a370560ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:20.913879+00:00", + "ended_at": "2026-05-19T16:10:24.053041+00:00", + "elapsed_ms": 3139.12, + "returncode": 1, + "prompt_metrics": { + "chars": 7796, + "bytes_utf8": 7796, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f51d21e8c74ddb29cfb043df085644405bba61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Vintage, measure_col=Region_Code.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Vintage", + "measure_col": "Region_Code", + "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": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f51d21e8c74ddb29cfb043df085644405bba61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Vintage, measure_col=Region_Code.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Vintage", + "measure_col": "Region_Code", + "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": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..70f1701ebcc8b286d9c2180a8ec4b553ccf0f56e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-924e-7571-8c01-e5bb962fd8d1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..227414261a5d7a8f939353fc83c78d3bfaec878f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-924e-7571-8c01-e5bb962fd8d1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26e810dc3a7596731ca5433b61124019340cb2d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-a294-7830-b9ba-08f2a27935ff"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c36e60aee5e6ba8b1168ccf6a11c864efd278c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-a294-7830-b9ba-08f2a27935ff"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/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/m11/artifacts/v2q_m11_5342a0729c2b3686/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5342a0729c2b3686/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/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bdc733910da3820ca2ccfc6e2e536268456dd313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:22:51.147691+00:00", + "ended_at": "2026-05-19T16:22:54.625086+00:00", + "elapsed_ms": 3477.35, + "returncode": 1, + "prompt_metrics": { + "chars": 7965, + "bytes_utf8": 7965, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8144a7edd860c32ec29867e9470744e91442f917 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:22:55.627649+00:00", + "ended_at": "2026-05-19T16:22:59.234893+00:00", + "elapsed_ms": 3607.17, + "returncode": 1, + "prompt_metrics": { + "chars": 7965, + "bytes_utf8": 7965, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d3383659f592a27374a38b03b1447eae420ddf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Response, measure_col=Vintage.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Response", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d3383659f592a27374a38b03b1447eae420ddf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Response, measure_col=Vintage.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Response", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a562a3bb9595d0250aec6d40ef0c744ad72e3d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-15a2-7322-a40f-115bef85e127"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ec88a2872329a2bd1c96c2332ed83f3ad590aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-15a2-7322-a40f-115bef85e127"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..96d57588a82666ff5c4833f6a610404c2ef1c670 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-2729-7bb3-b661-663413a311b2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8728686ccd6c0520099a3e0d99fdd501e1e2f2fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-2729-7bb3-b661-663413a311b2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/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/m11/artifacts/v2q_m11_573d6457b497760f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_573d6457b497760f/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/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d2abd70b82a913719847362b6f0ca022ddb6998a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/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": "2026-05-19T16:14:00.726802+00:00", + "ended_at": "2026-05-19T16:14:04.454120+00:00", + "elapsed_ms": 3727.29, + "returncode": 1, + "prompt_metrics": { + "chars": 8244, + "bytes_utf8": 8244, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..72172ac209f5275fde5c4c19426f89f6e4bd421b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/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": "2026-05-19T16:14:05.455663+00:00", + "ended_at": "2026-05-19T16:14:08.277249+00:00", + "elapsed_ms": 2821.56, + "returncode": 1, + "prompt_metrics": { + "chars": 8244, + "bytes_utf8": 8244, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..35d52f810b5c764c3d2d89329f49429729526cd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Previously_Insured, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "Policy_Sales_Channel", + "item_col": "Vintage", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..35d52f810b5c764c3d2d89329f49429729526cd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Previously_Insured, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "Policy_Sales_Channel", + "item_col": "Vintage", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3231626133b2bd9636dc9f803aa02b181371b1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-fd24-7010-be7a-8111e4532e76"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70fe08009eef3743bd79395cc113f5a2a5f25578 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-fd24-7010-be7a-8111e4532e76"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d4e1064e40396d3ceb0a2c0fda5bddedced3e1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-0f9f-7740-a5e0-b5487e8ae854"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b4967dd23b46f57b19e5af6a1d5a914f79b5d4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-0f9f-7740-a5e0-b5487e8ae854"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/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/m11/artifacts/v2q_m11_5b1c0b1e341cab66/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b1c0b1e341cab66/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/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad4dce02e8febc54b1ef2379a0cd7cc0054fede0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/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": "2026-05-19T16:10:00.621806+00:00", + "ended_at": "2026-05-19T16:10:05.773840+00:00", + "elapsed_ms": 5152.01, + "returncode": 1, + "prompt_metrics": { + "chars": 7807, + "bytes_utf8": 7807, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb52305f729dfc866d938dd08af9faf36014b2e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:06.775317+00:00", + "ended_at": "2026-05-19T16:10:09.810065+00:00", + "elapsed_ms": 3034.72, + "returncode": 1, + "prompt_metrics": { + "chars": 7807, + "bytes_utf8": 7807, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f55c1903e52b38564cbc63ebc20689d41ee2d28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Policy_Sales_Channel, measure_col=Age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Policy_Sales_Channel", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f55c1903e52b38564cbc63ebc20689d41ee2d28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Policy_Sales_Channel, measure_col=Age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Policy_Sales_Channel", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a107bf85bf82420236e720faa58e1a831f81248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-533a-70f2-996b-d7c618876968"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84c499e215fc7070165fe9682a9cc472e6e7f1fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-533a-70f2-996b-d7c618876968"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fada8ac9d56b1e3efc2932ebf8f70173a0d3526e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6b2f-7381-8546-2117a1a52849"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..74c7896437452fabade98b357a592a98392555db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6b2f-7381-8546-2117a1a52849"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/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/m11/artifacts/v2q_m11_5b37a9d541c09f30/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5b37a9d541c09f30/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/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5a26cad0c7c5ac685585000a7f76b25b45bfe57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/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": "2026-05-19T16:19:25.168610+00:00", + "ended_at": "2026-05-19T16:19:28.149303+00:00", + "elapsed_ms": 2980.67, + "returncode": 1, + "prompt_metrics": { + "chars": 8367, + "bytes_utf8": 8367, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..03b0475e791c0cc983b23569122d86f1f990da2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/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": "2026-05-19T16:19:29.150858+00:00", + "ended_at": "2026-05-19T16:19:33.311022+00:00", + "elapsed_ms": 4160.1, + "returncode": 1, + "prompt_metrics": { + "chars": 8367, + "bytes_utf8": 8367, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e4f1fb0efa8f1ee8ce59015092e8a0629bf9530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Policy_Sales_Channel, measure_col=Vintage.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e4f1fb0efa8f1ee8ce59015092e8a0629bf9530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Policy_Sales_Channel, measure_col=Vintage.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97e83b2d834ff93cbbb925fa7e59ccf0be82052e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-f085-7711-9ea8-c9217287ec7d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82f1e10a21b4e9d0052ce9c1457017ce0918a217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-f085-7711-9ea8-c9217287ec7d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1f84143fb9e62c398436b319fdc8e47b9ca9d66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-0007-7623-b92e-cc8d995563c1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb8a91ec73cec875cc3f785030587408c789a338 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-0007-7623-b92e-cc8d995563c1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/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/m11/artifacts/v2q_m11_5dcb11b0632ee658/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_5dcb11b0632ee658/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/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e69e5cb7a5fb0eed1e58863b5602dd65f93b02da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/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": "2026-05-19T16:16:17.941322+00:00", + "ended_at": "2026-05-19T16:16:24.929131+00:00", + "elapsed_ms": 6987.77, + "returncode": 1, + "prompt_metrics": { + "chars": 8117, + "bytes_utf8": 8117, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1cec2fbb475a63094d0dfb0c0b367f94a3c8751 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/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": "2026-05-19T16:16:25.932263+00:00", + "ended_at": "2026-05-19T16:16:28.982733+00:00", + "elapsed_ms": 3050.42, + "returncode": 1, + "prompt_metrics": { + "chars": 8117, + "bytes_utf8": 8117, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec2abd40ccdf89c3306dbdaf0d89a041fbce93d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Age, group_col_2=Driving_License.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Age", + "group_col_2": "Driving_License", + "predicate_col": "Vehicle_Age", + "predicate_op": "=", + "predicate_value": "1-2 Year", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec2abd40ccdf89c3306dbdaf0d89a041fbce93d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Age, group_col_2=Driving_License.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Age", + "group_col_2": "Driving_License", + "predicate_col": "Vehicle_Age", + "predicate_op": "=", + "predicate_value": "1-2 Year", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3719e162b8203280c8405bd83e574ce6d7ec9f5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-1576-7653-87e3-5916ccf44f62"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1a2e8b748e9b9eb17fa1f6bc38289f393643dbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-1576-7653-87e3-5916ccf44f62"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1edf9b76960ec6e5c4b370e39c5e7d23f709a35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-3508-7d43-9f7c-d4ebf4f72967"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d6f2e8f19eea7b3d38f0ecc9667f772c5a1da7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-3508-7d43-9f7c-d4ebf4f72967"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/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/m11/artifacts/v2q_m11_60829d7ecbef835e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_60829d7ecbef835e/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/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fc6e86f97e966f9fef9b3bf8797014c3e4254a9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/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": "2026-05-19T16:28:48.284222+00:00", + "ended_at": "2026-05-19T16:28:51.970576+00:00", + "elapsed_ms": 3686.31, + "returncode": 1, + "prompt_metrics": { + "chars": 7790, + "bytes_utf8": 7790, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3afa57a34bced2fe0d33d8b52564bac667901e70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/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": "2026-05-19T16:28:52.973190+00:00", + "ended_at": "2026-05-19T16:28:56.781443+00:00", + "elapsed_ms": 3808.2, + "returncode": 1, + "prompt_metrics": { + "chars": 7790, + "bytes_utf8": 7790, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..559b699213a6cc340ee007aa4e59caf47dd12d24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Region_Code.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Region_Code", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..559b699213a6cc340ee007aa4e59caf47dd12d24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Region_Code.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Region_Code", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bf81d182ef6a920947c99e1795f218e8d9c9fa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-8890-75d3-8cda-285050c53205"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28d85a52fd478bfe00128acaf0762788138c445d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-8890-75d3-8cda-285050c53205"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1b93c6e672e78ef16e726aaf0cee911f5538b7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-9ae6-7880-964a-6a4c73c4383c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8632052e777a3655971341aa521686b484f60ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-9ae6-7880-964a-6a4c73c4383c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/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/m11/artifacts/v2q_m11_614636324913af8c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_614636324913af8c/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/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0bda7162a5c503b23b8f13df47380a7a50605b7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/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": "2026-05-19T16:26:02.152838+00:00", + "ended_at": "2026-05-19T16:26:05.392418+00:00", + "elapsed_ms": 3239.53, + "returncode": 1, + "prompt_metrics": { + "chars": 8064, + "bytes_utf8": 8064, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4e413088fa5f2c510843972301b5af66a747fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/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": "2026-05-19T16:26:06.395799+00:00", + "ended_at": "2026-05-19T16:26:09.535387+00:00", + "elapsed_ms": 3139.52, + "returncode": 1, + "prompt_metrics": { + "chars": 8064, + "bytes_utf8": 8064, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4255faf847502b9074306eb5ac00ae4cb726e6af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Driving_License, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Driving_License", + "condition_col": "Gender", + "condition_value": "Female", + "positive_value": "Male", + "negative_value": "Female", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4255faf847502b9074306eb5ac00ae4cb726e6af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Driving_License, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Driving_License", + "condition_col": "Gender", + "condition_value": "Female", + "positive_value": "Male", + "negative_value": "Female", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9abc7b4d15ac9512c2ac7d304707e78ebda160b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-ffa3-7120-a17c-e65107dfd120"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf45201a9e2cd5af8aafc25dd01a1a28ca337e7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-ffa3-7120-a17c-e65107dfd120"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..713cd931c422eea69a395686cfedf0df7d914110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-1027-7fc2-b8fc-f53e7286f02d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b71012bead1b865cc0a5ba10366b7185c570b8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-1027-7fc2-b8fc-f53e7286f02d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/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/m11/artifacts/v2q_m11_62079f1cb0bc19ce/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_62079f1cb0bc19ce/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/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ab63898d68228823adca804a6fae95702c724375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/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": "2026-05-19T16:15:18.831650+00:00", + "ended_at": "2026-05-19T16:15:21.986169+00:00", + "elapsed_ms": 3154.49, + "returncode": 1, + "prompt_metrics": { + "chars": 8636, + "bytes_utf8": 8636, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..365e4af56c0e03d040e0bab00a8d7ab838b8b8a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/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": "2026-05-19T16:15:22.988326+00:00", + "ended_at": "2026-05-19T16:15:25.949610+00:00", + "elapsed_ms": 2961.23, + "returncode": 1, + "prompt_metrics": { + "chars": 8636, + "bytes_utf8": 8636, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a509bba0b6c261fed8cffbeea1abe8f370429ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Previously_Insured, condition_col=Previously_Insured.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Previously_Insured", + "condition_col": "Previously_Insured", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a509bba0b6c261fed8cffbeea1abe8f370429ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Previously_Insured, condition_col=Previously_Insured.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Previously_Insured", + "condition_col": "Previously_Insured", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8bc0f364aa0e1b055d183a701380e717f8cef070 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-2e30-7571-9c6f-2f73bf31b8cc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bead84e392b5a2e9a0a7ab0c1c4db129d2f2523b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-2e30-7571-9c6f-2f73bf31b8cc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2e37464e3f4d9cb3ce2189593316923d94947af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-3e5b-76f2-a17a-660695092810"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2715f02b892f613e6338923e4d3697ba5e5e30d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-3e5b-76f2-a17a-660695092810"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/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/m11/artifacts/v2q_m11_6334518922ab7063/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6334518922ab7063/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/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..56d20114737ef76eb13b090f8db5c75b7d584b4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/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": "2026-05-19T16:29:28.147041+00:00", + "ended_at": "2026-05-19T16:29:31.356645+00:00", + "elapsed_ms": 3209.54, + "returncode": 1, + "prompt_metrics": { + "chars": 7795, + "bytes_utf8": 7795, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bd0b889b30657757f0e6d3eeed462dcb0ca17aa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/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": "2026-05-19T16:29:32.359327+00:00", + "ended_at": "2026-05-19T16:29:35.242108+00:00", + "elapsed_ms": 2882.7, + "returncode": 1, + "prompt_metrics": { + "chars": 7795, + "bytes_utf8": 7795, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29124e8577b1bd6e4b7d6155730b0e54ee8581bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Vehicle_Damage.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Vehicle_Damage", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..29124e8577b1bd6e4b7d6155730b0e54ee8581bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Vehicle_Damage.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Vehicle_Damage", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82d6ab796c2a030312f2c371dc27f747a12d642f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-2443-7710-a6a3-f43d53f16d65"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e80cad7f4eee5de69016bd52dda21201439342e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-2443-7710-a6a3-f43d53f16d65"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bd0dde40049078603750a45cf3d1818e39af610 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-34b4-79f3-b101-af6e052c270d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..05297d50fbd62eac79dfe5445b5b39844ce47381 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-34b4-79f3-b101-af6e052c270d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/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/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_65c9fcf1bbd1b86b/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/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..98d8d4eae170a0f4de11a7a6478f2eedf67c324a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/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": "2026-05-19T16:15:39.401536+00:00", + "ended_at": "2026-05-19T16:15:42.696930+00:00", + "elapsed_ms": 3295.36, + "returncode": 1, + "prompt_metrics": { + "chars": 8104, + "bytes_utf8": 8104, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..838c143bbb9ae97c9649bff3530a6b2dbe66a227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/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": "2026-05-19T16:15:43.699444+00:00", + "ended_at": "2026-05-19T16:15:46.991491+00:00", + "elapsed_ms": 3292.0, + "returncode": 1, + "prompt_metrics": { + "chars": 8104, + "bytes_utf8": 8104, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3cf8997a1edb0384fa77a4d143082ee30c1ae08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Vehicle_Damage.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Vehicle_Damage", + "predicate_col": "Age", + "predicate_op": ">=", + "predicate_value": 49.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3cf8997a1edb0384fa77a4d143082ee30c1ae08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Vehicle_Damage.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Vehicle_Damage", + "predicate_col": "Age", + "predicate_op": ">=", + "predicate_value": 49.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..52d14f4535eadecb8bf3bafbae103ed87faf1720 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-7e82-7cb3-91c0-50220bd6edee"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e47308bf7bb7065077557d8f7a8b3486f818425d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-7e82-7cb3-91c0-50220bd6edee"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a69edef8b175992917a9fb3f9ba2c9520da6cc4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-8f6f-7173-bb0c-bb8fc58f52bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b5e928b83c476593df73d9153920596e92ce0eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-8f6f-7173-bb0c-bb8fc58f52bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/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/m11/artifacts/v2q_m11_68b8e7747f757e05/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_68b8e7747f757e05/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/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e1dd5e608e0b3afdabfa5b6d454e600a483f9945 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/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": "2026-05-19T16:23:14.170942+00:00", + "ended_at": "2026-05-19T16:23:17.403280+00:00", + "elapsed_ms": 3232.29, + "returncode": 1, + "prompt_metrics": { + "chars": 7957, + "bytes_utf8": 7957, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6146546b2d5f6ddbe6562a1dee857b8a59232190 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/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": "2026-05-19T16:23:18.406291+00:00", + "ended_at": "2026-05-19T16:23:21.544727+00:00", + "elapsed_ms": 3138.37, + "returncode": 1, + "prompt_metrics": { + "chars": 7957, + "bytes_utf8": 7957, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0c2ba0a8a79490348988cb23e56fd423e89509b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Gender, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Gender", + "measure_col": "id", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0c2ba0a8a79490348988cb23e56fd423e89509b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Gender, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Gender", + "measure_col": "id", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd5f0bd4dfb6c85dcd1fcc4d2a042073e12378f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-6f8b-7c73-b8ed-43345c534c3d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..92d7b119a2dc1a05a61f71d01dc28edb58fb6ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-800d-7df2-97af-dc5ee165dd29"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccf994481a72ec05898f5e3fcbde6ccef13094a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-800d-7df2-97af-dc5ee165dd29"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/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/m11/artifacts/v2q_m11_69d25f9ba750b15d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_69d25f9ba750b15d/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/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a84e3d73caa9654db29e33f3c4633b86d9da4a1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/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": "2026-05-19T16:10:40.474799+00:00", + "ended_at": "2026-05-19T16:10:43.387502+00:00", + "elapsed_ms": 2912.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7720, + "bytes_utf8": 7720, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..95510c0aff86245f4cf9d74d79ce25c9fb180f74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/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": "2026-05-19T16:10:44.389547+00:00", + "ended_at": "2026-05-19T16:10:47.806051+00:00", + "elapsed_ms": 3416.41, + "returncode": 1, + "prompt_metrics": { + "chars": 7720, + "bytes_utf8": 7720, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b632ce981d57f25fdba88c88ca06556fa10673a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Previously_Insured.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Previously_Insured", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b632ce981d57f25fdba88c88ca06556fa10673a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Previously_Insured.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Previously_Insured", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a97801a01ad3cdbf1621685ca5c8e19d55dd1294 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-eecd-7680-b458-ac8d48a079ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b3ff149058a57fdaa2660e3c71f47cc1f6f93ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-eecd-7680-b458-ac8d48a079ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..369026b26577179dc6a2e0e38f021dc3499b0e7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-fe17-7140-b226-eef641668cbb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..943899e318a6650ba50fb21f8ce520f39b0eb22e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-fe17-7140-b226-eef641668cbb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/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/m11/artifacts/v2q_m11_6b738f2d586e8136/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6b738f2d586e8136/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/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..77abb8e1f0aa6a552926debe842d909ef071918a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/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": "2026-05-19T16:19:10.175366+00:00", + "ended_at": "2026-05-19T16:19:13.555967+00:00", + "elapsed_ms": 3380.57, + "returncode": 1, + "prompt_metrics": { + "chars": 8381, + "bytes_utf8": 8381, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70e82ed5f522d805ea942bb1d1fb5833f4b17947 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/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": "2026-05-19T16:19:14.558137+00:00", + "ended_at": "2026-05-19T16:19:18.031611+00:00", + "elapsed_ms": 3473.43, + "returncode": 1, + "prompt_metrics": { + "chars": 8381, + "bytes_utf8": 8381, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c100abafb68e147ee1ef68ee92b829f6df461881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c100abafb68e147ee1ef68ee92b829f6df461881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa78f1cb2815e22d170b423cae03b7434ddbe7d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-b5f6-71e3-88a9-98df6673e4bc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..490712f68648756b10991b4cd75efb810784e5aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-b5f6-71e3-88a9-98df6673e4bc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eff1e3bdb7ac7e75d01347a8d0e407f7fc00dc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-c6ff-72a2-bcae-e8ad0bae8df6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f6f9be0578ea3efea49ed917ab480d129062013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-c6ff-72a2-bcae-e8ad0bae8df6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/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/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6dc09ed2bb3b387b/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/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c502c5fb5e8e06c2b43fe402db859e73fac30c60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/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": "2026-05-19T16:30:45.803303+00:00", + "ended_at": "2026-05-19T16:30:49.551316+00:00", + "elapsed_ms": 3747.97, + "returncode": 1, + "prompt_metrics": { + "chars": 7892, + "bytes_utf8": 7892, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb6f0dd995e03e0b6b10e08fac5ff812469dfe64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/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": "2026-05-19T16:30:50.554702+00:00", + "ended_at": "2026-05-19T16:30:54.064785+00:00", + "elapsed_ms": 3510.02, + "returncode": 1, + "prompt_metrics": { + "chars": 7892, + "bytes_utf8": 7892, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07644af51d758b5b3209070f61dfccd88ad2157c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Age, measure_col=Annual_Premium.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..07644af51d758b5b3209070f61dfccd88ad2157c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Age, measure_col=Annual_Premium.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e68e0979866a0a718ac9442010a8e62bdd5897bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-53b6-7fb1-ae7e-f4e4ed41f148"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6fca2bf4f202f90eae750f7703522ede68124cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-53b6-7fb1-ae7e-f4e4ed41f148"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7620ee0a6335160e163e4b36131ceefdde6ea7f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-661b-70a1-a473-858fe444a771"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..93a43ea6a5e43329ebbb86b0f3aacf8d670687ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-661b-70a1-a473-858fe444a771"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/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/m11/artifacts/v2q_m11_6e6d95f455df2d28/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_6e6d95f455df2d28/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/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..77345a6e0ba66e24993acdf25c793e053e326644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/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": "2026-05-19T16:31:51.586060+00:00", + "ended_at": "2026-05-19T16:31:54.988357+00:00", + "elapsed_ms": 3402.26, + "returncode": 1, + "prompt_metrics": { + "chars": 7861, + "bytes_utf8": 7861, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..42f7547d27a11958817c50d7e933d9519162edc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/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": "2026-05-19T16:31:55.991160+00:00", + "ended_at": "2026-05-19T16:31:59.752885+00:00", + "elapsed_ms": 3761.66, + "returncode": 1, + "prompt_metrics": { + "chars": 7861, + "bytes_utf8": 7861, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..068087da5247c319e81d55e79a21a7af8d3ea9fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Response, measure_col=Age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Response", + "measure_col": "Age", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..068087da5247c319e81d55e79a21a7af8d3ea9fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Response, measure_col=Age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Response", + "measure_col": "Age", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e92b38f6dd9e5adaa8b7029cec0965e66c83ebca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-54b4-7403-b3ab-2dc5830f3cde"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..635aee109fb5ee220d11adec0358a4715c1ee237 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-54b4-7403-b3ab-2dc5830f3cde"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a4afed042c870717df8c04332c2491c76e22ca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-65e7-7441-a517-4d7e0e32cc5f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b13d1f3f5959e9e27412bf605b8e92f114ecd00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-65e7-7441-a517-4d7e0e32cc5f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/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/m11/artifacts/v2q_m11_721c3878c28924b3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_721c3878c28924b3/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/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..69d711a8d4fe9792376e3c9e92bb5b995e9f4ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/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": "2026-05-19T16:25:13.768058+00:00", + "ended_at": "2026-05-19T16:25:17.763966+00:00", + "elapsed_ms": 3995.85, + "returncode": 1, + "prompt_metrics": { + "chars": 8063, + "bytes_utf8": 8063, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fec400382bbc93906c886791f2b9736608ab60e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/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": "2026-05-19T16:25:18.766953+00:00", + "ended_at": "2026-05-19T16:25:23.056776+00:00", + "elapsed_ms": 4289.73, + "returncode": 1, + "prompt_metrics": { + "chars": 8063, + "bytes_utf8": 8063, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9134409d058d0af30398f10e1e8f4ec77de0f8a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Response, condition_col=Vehicle_Age.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Response", + "condition_col": "Vehicle_Age", + "condition_value": "< 1 Year", + "positive_value": "1-2 Year", + "negative_value": "< 1 Year", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9134409d058d0af30398f10e1e8f4ec77de0f8a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Response, condition_col=Vehicle_Age.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Response", + "condition_col": "Vehicle_Age", + "condition_value": "< 1 Year", + "positive_value": "1-2 Year", + "negative_value": "< 1 Year", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2369013b01a652c9e87b4108bf46b87439904d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-429e-7ad3-b19a-63450d64a537"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c09b49c4e30ef34c4a9b93bec24057e29cef09ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-429e-7ad3-b19a-63450d64a537"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c7c6249bbf2c67cd62ae0dc54231a3805ac6520 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-563d-70d2-87df-90da22918a65"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..04224999444a47b281dfd950204273e26fed553f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-563d-70d2-87df-90da22918a65"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/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/m11/artifacts/v2q_m11_76b66e8018ebb098/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_76b66e8018ebb098/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/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1a754c5c67bd8a803717f3fcad09399bf6c0cf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/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": "2026-05-19T16:32:18.491275+00:00", + "ended_at": "2026-05-19T16:32:21.992889+00:00", + "elapsed_ms": 3501.57, + "returncode": 1, + "prompt_metrics": { + "chars": 7878, + "bytes_utf8": 7878, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b675d7c1636d26b1b4e1831c882f7187292277be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/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": "2026-05-19T16:32:22.996214+00:00", + "ended_at": "2026-05-19T16:32:26.368551+00:00", + "elapsed_ms": 3372.26, + "returncode": 1, + "prompt_metrics": { + "chars": 7878, + "bytes_utf8": 7878, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..76a1f59c672a0a982c00493016d30dcd286d4aa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..76a1f59c672a0a982c00493016d30dcd286d4aa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Gender, measure_col=Region_Code.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Gender", + "measure_col": "Region_Code", + "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": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4050011c89d513c0210752feb46836cdc03af59c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-bdb3-7091-932b-d284e0dc9782"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..deed04ddf8fb159d689c6db7eaae3196ab981b9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-bdb3-7091-932b-d284e0dc9782"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c369beec9f9c3cc3a8d44c90d852be332282815 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-cf33-73e0-8a73-b37de91f6467"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8c250af8f4d6810953bb9b077d3d70e4ca85d80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-cf33-73e0-8a73-b37de91f6467"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/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/m11/artifacts/v2q_m11_7badb766e4c68962/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_7badb766e4c68962/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/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6864add918c8468b261ef8002e1a127a25553a26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:29:12.613723+00:00", + "ended_at": "2026-05-19T16:29:15.898973+00:00", + "elapsed_ms": 3285.2, + "returncode": 1, + "prompt_metrics": { + "chars": 7785, + "bytes_utf8": 7785, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..168f98d49da9a2ea46ba5d2115d04ce44869ea6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/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": "2026-05-19T16:29:16.902249+00:00", + "ended_at": "2026-05-19T16:29:20.576649+00:00", + "elapsed_ms": 3674.33, + "returncode": 1, + "prompt_metrics": { + "chars": 7785, + "bytes_utf8": 7785, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a52198d2b8f33a431483a939c6e6fde7f163bb43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Vehicle_Age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Vehicle_Age", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a52198d2b8f33a431483a939c6e6fde7f163bb43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Vehicle_Age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Vehicle_Age", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0947726dceb2ac381d10a431f4e0275169b3906d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-e7cc-7b02-8653-72818da1b1bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b96f634a6104db284c3f255505fb16504b8a7e61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-e7cc-7b02-8653-72818da1b1bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..61cf7c56d877b8120c05586e6ea33dbf32b16935 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-f86d-7ce0-891d-0af8ccc36078"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1391a1c03650b23211dece49ad422052c14d2137 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-f86d-7ce0-891d-0af8ccc36078"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/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/m11/artifacts/v2q_m11_83563c8bd5edb670/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_83563c8bd5edb670/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/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c40941cd589f5796a28b60ce447d4fc79aa2d9bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/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": "2026-05-19T16:12:00.884886+00:00", + "ended_at": "2026-05-19T16:12:04.603847+00:00", + "elapsed_ms": 3718.94, + "returncode": 1, + "prompt_metrics": { + "chars": 8222, + "bytes_utf8": 8222, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4da7e60ea89d36a8beadf51408078f67bef42fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/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": "2026-05-19T16:12:05.605893+00:00", + "ended_at": "2026-05-19T16:12:09.394897+00:00", + "elapsed_ms": 3788.96, + "returncode": 1, + "prompt_metrics": { + "chars": 8222, + "bytes_utf8": 8222, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..633ba5b8dee88c9b3d6e79b6aed7368a84c3e458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "item_col": "Annual_Premium", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..633ba5b8dee88c9b3d6e79b6aed7368a84c3e458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "item_col": "Annual_Premium", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3205f747aa139e0be02a63a982530ede548bae49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-28e5-7b61-ac4a-6eb97856c59a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a94d29e96ac3d060285bf32fe9e156ac7a5b8bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-28e5-7b61-ac4a-6eb97856c59a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f566474915c2344fdcede22cec414c7c809a9ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-3b6d-7fc2-acd0-071a6adb09d4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4aaad492036e485026d61a6f9a40dc8314386aea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-3b6d-7fc2-acd0-071a6adb09d4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/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/m11/artifacts/v2q_m11_8834a732f16ff060/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8834a732f16ff060/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/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a11e8c49548c1c2740d07973091ca7b33160b45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/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": "2026-05-19T16:15:25.963413+00:00", + "ended_at": "2026-05-19T16:15:28.792282+00:00", + "elapsed_ms": 2828.83, + "returncode": 1, + "prompt_metrics": { + "chars": 8119, + "bytes_utf8": 8119, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ffb8c54c36a84c0b00362f32d7c764b64f53eaa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/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": "2026-05-19T16:15:29.794073+00:00", + "ended_at": "2026-05-19T16:15:32.729840+00:00", + "elapsed_ms": 2935.73, + "returncode": 1, + "prompt_metrics": { + "chars": 8119, + "bytes_utf8": 8119, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc46a86dba6c47983cd2ce693a5555b3f57d2217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Previously_Insured.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Previously_Insured", + "predicate_col": "id", + "predicate_op": ">=", + "predicate_value": 340589.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc46a86dba6c47983cd2ce693a5555b3f57d2217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Previously_Insured.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Previously_Insured", + "predicate_col": "id", + "predicate_op": ">=", + "predicate_value": 340589.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97911b0a0ae613c504ab9d09842518274048caab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-4a01-75b3-a668-6df2bcbd6674"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8562415c301fa1fbd82d1ae2ad84358c88f0fcc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-4a01-75b3-a668-6df2bcbd6674"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ec046784d660ab3470b84bdd86b7e040834a717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-5908-7233-984f-a8f1e16c0ba8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1aad61da369056c29fa2b1feeed9b4fef5919f0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-5908-7233-984f-a8f1e16c0ba8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/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/m11/artifacts/v2q_m11_8a3460e94d70db06/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a3460e94d70db06/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/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f189ad5891712e52e1728375206b99828e853a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:22:14.353666+00:00", + "ended_at": "2026-05-19T16:22:19.644816+00:00", + "elapsed_ms": 5291.11, + "returncode": 1, + "prompt_metrics": { + "chars": 8011, + "bytes_utf8": 8011, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8215a37191ca2a9b9e9dc99524b3eeb110fe8952 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:22:20.647563+00:00", + "ended_at": "2026-05-19T16:22:31.630299+00:00", + "elapsed_ms": 10982.67, + "returncode": 1, + "prompt_metrics": { + "chars": 8011, + "bytes_utf8": 8011, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..791ad5d2ab92d599b2cd77f0e3f220d4957833a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Policy_Sales_Channel, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..791ad5d2ab92d599b2cd77f0e3f220d4957833a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Policy_Sales_Channel, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..00d9ed67195f4d37d33adae90efeb5849ff09064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-85a7-7223-ab3d-f140be5db95b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc2c30b75241641f1eb48d545ce1f3f3364351fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-85a7-7223-ab3d-f140be5db95b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..317e9dadb0a87a2479d230bfb79639eee8ddeaec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-9e53-7e81-89ae-6e490f595bb0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdd9dbd3ed6821f54a8113da147b1446166a9276 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-9e53-7e81-89ae-6e490f595bb0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/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/m11/artifacts/v2q_m11_8a48e195df29866b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a48e195df29866b/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/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bff49afb97bdd9502ff9ac9605d354c58e3ca0d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/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": "2026-05-19T16:19:18.043128+00:00", + "ended_at": "2026-05-19T16:19:21.070732+00:00", + "elapsed_ms": 3027.58, + "returncode": 1, + "prompt_metrics": { + "chars": 8385, + "bytes_utf8": 8385, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9bf4fe71f62b735aa3ed1bb927ea199c9ecdaeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/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": "2026-05-19T16:19:22.072637+00:00", + "ended_at": "2026-05-19T16:19:25.156762+00:00", + "elapsed_ms": 3084.1, + "returncode": 1, + "prompt_metrics": { + "chars": 8385, + "bytes_utf8": 8385, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0540408b4200491d1424fa29e1185903c8972a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0540408b4200491d1424fa29e1185903c8972a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f83592e81827f9164253d993ec7eed72f17dd120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-d4d3-7450-a361-7fbc592261ba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c46aea09bd0b2b81c8678255b7937eaf1d2a825 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-d4d3-7450-a361-7fbc592261ba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ef45a3794cdab269a372328a98e7d2029a37ef6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-e454-7cb1-9004-7c3a574514d0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f9e16cf25d7d9cc61da9ef2d3e8a960be76709f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-e454-7cb1-9004-7c3a574514d0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/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/m11/artifacts/v2q_m11_8a63e86f04041129/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8a63e86f04041129/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/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6585185996c855ec8ae56982fef7939bb6069516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/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": "2026-05-19T16:21:04.479228+00:00", + "ended_at": "2026-05-19T16:21:19.601484+00:00", + "elapsed_ms": 15122.22, + "returncode": 1, + "prompt_metrics": { + "chars": 7981, + "bytes_utf8": 7981, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af1f6384f7280909ac70c875a6db5ac5e1df0750 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/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": "2026-05-19T16:21:20.603886+00:00", + "ended_at": "2026-05-19T16:21:23.909752+00:00", + "elapsed_ms": 3305.82, + "returncode": 1, + "prompt_metrics": { + "chars": 7981, + "bytes_utf8": 7981, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e2a84172c606682a519c73f54c0874b047274c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e2a84172c606682a519c73f54c0874b047274c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6235b569b2d581ae3f4ce91fb0762e61291ce954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-748f-7a40-9d6a-1e4d79220550"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..abe5be8800a494ec58feee834507e2b59f0b9d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-748f-7a40-9d6a-1e4d79220550"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e0e636f12d172d3339a80dd1c095c2fc92207df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-b386-7972-8244-a1f225d7edb4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1052f6c25dd88c6abc0e5257cca871750d5202f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-b386-7972-8244-a1f225d7edb4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/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/m11/artifacts/v2q_m11_8b97403b40f778e5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8b97403b40f778e5/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/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e335f1360fde5a0be8a47872b2bfa49c30a82b2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/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": "2026-05-19T16:13:48.995928+00:00", + "ended_at": "2026-05-19T16:13:51.946739+00:00", + "elapsed_ms": 2950.78, + "returncode": 1, + "prompt_metrics": { + "chars": 8236, + "bytes_utf8": 8236, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18b0c36eb0b32d8b4ce516979f85f49992919212 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/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": "2026-05-19T16:13:52.948763+00:00", + "ended_at": "2026-05-19T16:14:00.714745+00:00", + "elapsed_ms": 7765.95, + "returncode": 1, + "prompt_metrics": { + "chars": 8236, + "bytes_utf8": 8236, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fa58efa98359f2af0e342ec59ff1afa133b826f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "item_col": "Policy_Sales_Channel", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fa58efa98359f2af0e342ec59ff1afa133b826f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "item_col": "Policy_Sales_Channel", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f46bbe2aac3da5e88bf24c9f9e22ebed7ae2954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-cf49-7db1-aad9-22e95b01f747"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..946b1f433aed1364cdde20c55a28dd31fad1420b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-cf49-7db1-aad9-22e95b01f747"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f59aac5185551adcb1fddd6cb3710bd148c47df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-dec9-7e20-a212-7a0dc8846624"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4ca5cbe872db772ee9b21a1bcbeb0ec062a8f81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-dec9-7e20-a212-7a0dc8846624"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/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/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_8ee4f86bff5ab54b/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/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81fea10d73d217b64766e975df535f993df48572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/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": "2026-05-19T16:20:42.606959+00:00", + "ended_at": "2026-05-19T16:20:59.291837+00:00", + "elapsed_ms": 16684.85, + "returncode": 1, + "prompt_metrics": { + "chars": 8352, + "bytes_utf8": 8352, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3415d6e84b8d73d64a17d9394a19565b7422ff36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/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": "2026-05-19T16:21:00.293482+00:00", + "ended_at": "2026-05-19T16:21:04.467587+00:00", + "elapsed_ms": 4174.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8352, + "bytes_utf8": 8352, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c38c6a79f92df47ed4c552f9fb10be86116807ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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=Annual_Premium.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Age", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c38c6a79f92df47ed4c552f9fb10be86116807ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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=Annual_Premium.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Age", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82b96b1d495a4a5b41efcef59f0b7ff338448e3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-1efc-7b81-8560-353baedf94f1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..038013c2522e67bc2af6e9f05b651d2167df668e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-1efc-7b81-8560-353baedf94f1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..00360d500ddf3e0312abc34405ac206eb6d54e6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-6408-7210-afad-8e02fd712074"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..244a3e280cd3a95885e765f96eb4aef92b623dd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-6408-7210-afad-8e02fd712074"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/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/m11/artifacts/v2q_m11_91202a0c9699c072/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_91202a0c9699c072/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/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..272ecbe5ac8a6348aada73dfa2e4cfbac7afbcbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/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": "2026-05-19T16:17:42.118599+00:00", + "ended_at": "2026-05-19T16:17:45.308955+00:00", + "elapsed_ms": 3190.31, + "returncode": 1, + "prompt_metrics": { + "chars": 7953, + "bytes_utf8": 7953, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eed374e3b81fde7ad2f3cd53bd9058cf1dbdacc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/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": "2026-05-19T16:17:46.311756+00:00", + "ended_at": "2026-05-19T16:17:54.264664+00:00", + "elapsed_ms": 7952.83, + "returncode": 1, + "prompt_metrics": { + "chars": 7953, + "bytes_utf8": 7953, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e25696a43e3a27ad7dcb8563556c2269c561fc70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "id", + "top_k": 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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e25696a43e3a27ad7dcb8563556c2269c561fc70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "id", + "top_k": 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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..462b14230152050c1411a6882d1ece6cdebcb310 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5e62-7de1-8710-58f640d5f77d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4427d520248da106ecfc69adad733a54c897912a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5e62-7de1-8710-58f640d5f77d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d99b1ab13fec04ee7a80b18ccbdd4d54c01ae374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-6eaa-73e2-9563-8c5c9adf00fe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0483b7ebb62ccf0bda9c608f0df4d4e1a63458c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-6eaa-73e2-9563-8c5c9adf00fe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/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/m11/artifacts/v2q_m11_935c25cacde82674/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_935c25cacde82674/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/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9083b62decbbec4c5f580280746b4e83ae728914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Response, condition_col=Vehicle_Age.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Response", + "condition_col": "Vehicle_Age", + "condition_value": "1-2 Year", + "positive_value": "1-2 Year", + "negative_value": "< 1 Year", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9083b62decbbec4c5f580280746b4e83ae728914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Response, condition_col=Vehicle_Age.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Response", + "condition_col": "Vehicle_Age", + "condition_value": "1-2 Year", + "positive_value": "1-2 Year", + "negative_value": "< 1 Year", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..613a00b9b9d139d4134cd41f12f4b9a0e4fb0d48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-97c1-72e2-82c3-8bf149a4915c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6fc58c1a29ccd254b098be1778f31587226c018 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-97c1-72e2-82c3-8bf149a4915c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cd28bc9d6923459f7efa92d3b9fe4699c2d8abe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-a7bb-7ca3-9fbb-0d85c537093d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_98502acef1da7ba7/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/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..785e22779264ef4627e9cef656fbd2fdda35e9d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/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": "2026-05-19T16:31:41.239595+00:00", + "ended_at": "2026-05-19T16:31:44.597371+00:00", + "elapsed_ms": 3357.74, + "returncode": 1, + "prompt_metrics": { + "chars": 7866, + "bytes_utf8": 7866, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..145f8186a5d3ec937074c6c5d1276d09f9ee88f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/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": "2026-05-19T16:31:45.600321+00:00", + "ended_at": "2026-05-19T16:31:51.564815+00:00", + "elapsed_ms": 5964.44, + "returncode": 1, + "prompt_metrics": { + "chars": 7866, + "bytes_utf8": 7866, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd473b9ce55e0affde29f1bce4025074d530f0a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Vintage, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vintage", + "measure_col": "id", + "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": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd473b9ce55e0affde29f1bce4025074d530f0a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Vintage, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vintage", + "measure_col": "id", + "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": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ef7364370308b1138086493f95be58e908f2482 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-2c1e-7b21-bfa0-fb52f234efd9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cacfe14f74fe0716c32a65b14fa9a49e3ac66c0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-2c1e-7b21-bfa0-fb52f234efd9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..00360bec1c35d807bbe3870cc41415760861c7a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-3d26-77e1-8f59-6f080fa91fba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..df5c295a7efaaf094b9ede2df9198bf8f2518d7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-3d26-77e1-8f59-6f080fa91fba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/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/m11/artifacts/v2q_m11_986505c27512414b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_986505c27512414b/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/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..143897674f0a19375965ad02c262c1284053b043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/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": "2026-05-19T16:23:21.566055+00:00", + "ended_at": "2026-05-19T16:23:25.201771+00:00", + "elapsed_ms": 3635.67, + "returncode": 1, + "prompt_metrics": { + "chars": 7958, + "bytes_utf8": 7958, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..72f075e06fd3d18298a8bef2606354f7661476f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/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": "2026-05-19T16:23:26.204846+00:00", + "ended_at": "2026-05-19T16:23:29.490274+00:00", + "elapsed_ms": 3285.34, + "returncode": 1, + "prompt_metrics": { + "chars": 7958, + "bytes_utf8": 7958, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a53d54e5f5f86e79a7744b0829b132e97cd0ec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Gender, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Gender", + "measure_col": "id", + "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": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a53d54e5f5f86e79a7744b0829b132e97cd0ec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Gender, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Gender", + "measure_col": "id", + "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": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a22451ed30050c6ddd9e361563b114180be514b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-8c57-7c42-a4c3-9c1a56c20a19"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f3a426b2b34b74e75c3038c9785171a20c054a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-8c57-7c42-a4c3-9c1a56c20a19"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1f6685cce3541f360156320afd35b37d00dc747 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-9e5a-7870-8dc2-b60e50d5628d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..718864d9a5f59dcada8096b6cc5bb662901df9aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-9e5a-7870-8dc2-b60e50d5628d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/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/m11/artifacts/v2q_m11_a2e87d45eb498919/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a2e87d45eb498919/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/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a08a916f8e7fa82c9a9135bfcd0fd265bb12aced --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/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": "2026-05-19T16:10:56.143849+00:00", + "ended_at": "2026-05-19T16:10:59.186790+00:00", + "elapsed_ms": 3042.91, + "returncode": 1, + "prompt_metrics": { + "chars": 7713, + "bytes_utf8": 7713, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d58fd5d36a3f55a2831b3620fe9d7b7a4b5630e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/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": "2026-05-19T16:11:00.188327+00:00", + "ended_at": "2026-05-19T16:11:03.238086+00:00", + "elapsed_ms": 3049.72, + "returncode": 1, + "prompt_metrics": { + "chars": 7713, + "bytes_utf8": 7713, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b18c659070916177f50ee1d84e44ccdd2aaba4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Vehicle_Damage.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Vehicle_Damage", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b18c659070916177f50ee1d84e44ccdd2aaba4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Vehicle_Damage.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Vehicle_Damage", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e66de6f47792f82102fa6c73cd1881bd8882624 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2c0c-7e41-a97b-eb76398d3c22"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c6d605968c79463e11f99ce9278be7e6a3d5315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2c0c-7e41-a97b-eb76398d3c22"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..58aafc80e362e0925bf606f7191b4021b36cecea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3bd7-7d01-a879-4a9807632cb3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b10ffd131926265ae82c9d76bcc756536ad24c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3bd7-7d01-a879-4a9807632cb3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/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/m11/artifacts/v2q_m11_a343c28c3cec51f0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a343c28c3cec51f0/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/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9dbfb8e94ca80139ebbbc1c1a5102ebd8fdaf8e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/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": "2026-05-19T16:21:40.494150+00:00", + "ended_at": "2026-05-19T16:21:43.835305+00:00", + "elapsed_ms": 3341.11, + "returncode": 1, + "prompt_metrics": { + "chars": 7968, + "bytes_utf8": 7968, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..73b32508adeae64748971b9a4c2a4b5582b33b94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/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": "2026-05-19T16:21:44.837587+00:00", + "ended_at": "2026-05-19T16:21:47.858138+00:00", + "elapsed_ms": 3020.51, + "returncode": 1, + "prompt_metrics": { + "chars": 7968, + "bytes_utf8": 7968, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02ff410d88c5776c156c0eccaf3645a4e47419a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..02ff410d88c5776c156c0eccaf3645a4e47419a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c08bafde3be75bb34a5d2942ef5b726bb93ced0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-0110-7bf1-90c7-c8d9472cfad1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be42f51393696b75a7bc6f6b4b1e6d960aa3bec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-0110-7bf1-90c7-c8d9472cfad1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..54bfb7c2fb368c1e29afa7790f246f29a93b085a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-1232-75d0-9315-6c0a81131601"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ceab4a3f7a91d50888dd4c8d8a8899a56e7849d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-1232-75d0-9315-6c0a81131601"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/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/m11/artifacts/v2q_m11_a46f30190582826c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a46f30190582826c/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/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e416d4c281de0755e664f57dc94363acfbc6735e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/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": "2026-05-19T16:30:23.259901+00:00", + "ended_at": "2026-05-19T16:30:26.778935+00:00", + "elapsed_ms": 3518.98, + "returncode": 1, + "prompt_metrics": { + "chars": 7873, + "bytes_utf8": 7873, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f50fd58a19b389e8fd246e357bf098d6ab7ca981 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/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": "2026-05-19T16:30:27.781928+00:00", + "ended_at": "2026-05-19T16:30:31.196817+00:00", + "elapsed_ms": 3414.82, + "returncode": 1, + "prompt_metrics": { + "chars": 7873, + "bytes_utf8": 7873, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69bdd153673afe53c4fc17755a1c3f982252b2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Region_Code, measure_col=Age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Region_Code", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69bdd153673afe53c4fc17755a1c3f982252b2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Region_Code, measure_col=Age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Region_Code", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..19d6fe5ad107c45ecc5c1e55d992a5ed986e3639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-fb89-7c91-98a7-dcf26a6f9655"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..998a7614bfceec91e955b2013fc31870c7091a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-fb89-7c91-98a7-dcf26a6f9655"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1743cb86835617050690061263450d181496ea66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-0d52-7902-bf42-637db93fce72"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7112610771cf18ec4dbed571a17a88a6e8a147cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-0d52-7902-bf42-637db93fce72"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/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/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_a5b87b6336fe0a0c/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/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1dc1ac221fc36995d3791fde0d1c70c3b7e3d07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/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": "2026-05-19T16:08:36.050556+00:00", + "ended_at": "2026-05-19T16:08:39.325199+00:00", + "elapsed_ms": 3274.61, + "returncode": 1, + "prompt_metrics": { + "chars": 7810, + "bytes_utf8": 7810, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7dd291160e60641e5026528f8e62e793445769fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/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": "2026-05-19T16:08:40.326701+00:00", + "ended_at": "2026-05-19T16:08:43.502875+00:00", + "elapsed_ms": 3176.14, + "returncode": 1, + "prompt_metrics": { + "chars": 7810, + "bytes_utf8": 7810, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a80f33fab9226215748372226df2045278abf5c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a80f33fab9226215748372226df2045278abf5c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 51539.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80fd6224baf5a19e7650a5b107ecf88f2c22a6d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-08c7-7433-a048-c16c161de29c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..773d41abdbde7ddeff2b98afdf1ccd96365f8b1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-08c7-7433-a048-c16c161de29c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a9617e2bd3bc0bd58cb26506f43f1a145be3fcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-19a0-7b72-81d1-dafaa48209e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e19901021f980dbd728d8401fc2f83dbcf8fa58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-19a0-7b72-81d1-dafaa48209e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/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/m11/artifacts/v2q_m11_aae1893e6b751235/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_aae1893e6b751235/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/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cdac9df0b6267b587a9d213b68e8d2422068e91e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/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": "2026-05-19T16:25:54.755357+00:00", + "ended_at": "2026-05-19T16:25:58.242821+00:00", + "elapsed_ms": 3487.41, + "returncode": 1, + "prompt_metrics": { + "chars": 8065, + "bytes_utf8": 8065, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be1155043b207f9dcadf612746b99b219101e4ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/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": "2026-05-19T16:25:59.244906+00:00", + "ended_at": "2026-05-19T16:26:02.133741+00:00", + "elapsed_ms": 2888.78, + "returncode": 1, + "prompt_metrics": { + "chars": 8065, + "bytes_utf8": 8065, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d86c1d0905f37537fee6a16b00bde9c317211bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Driving_License, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Driving_License", + "condition_col": "Gender", + "condition_value": "Male", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d86c1d0905f37537fee6a16b00bde9c317211bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Driving_License, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Driving_License", + "condition_col": "Gender", + "condition_value": "Male", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..511316c499cb734ca08822554afd60d0f097397f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-e2c2-7562-914c-69f5c4ae6b9c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1ed4e8c895ca8e204216f90e3232c768cd8a305 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-e2c2-7562-914c-69f5c4ae6b9c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a09c17cc6de77b3def3aaea2ee7a362462f97b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-f45d-7422-8ac1-945d7d27f3c8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..941e5c81175fa83f7b4b6a03d8075d5ff1277f8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-f45d-7422-8ac1-945d7d27f3c8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/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/m11/artifacts/v2q_m11_b30b6e407be496d9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b30b6e407be496d9/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/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..442d28d696b9c67125836c93ff3932b53ac10ec5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/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": "2026-05-19T16:12:38.312891+00:00", + "ended_at": "2026-05-19T16:12:41.246268+00:00", + "elapsed_ms": 2933.35, + "returncode": 1, + "prompt_metrics": { + "chars": 8187, + "bytes_utf8": 8187, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f28e058e2eb8930ff3195a80dc8e77e2f9e7236 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/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": "2026-05-19T16:12:42.247837+00:00", + "ended_at": "2026-05-19T16:12:45.807085+00:00", + "elapsed_ms": 3559.22, + "returncode": 1, + "prompt_metrics": { + "chars": 8187, + "bytes_utf8": 8187, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e8ac29034d6584edf1e6b662a55bf2f55f34ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Response, measure_col=Vintage.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Response", + "measure_col": "Vintage", + "item_col": "id", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e8ac29034d6584edf1e6b662a55bf2f55f34ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Response, measure_col=Vintage.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Response", + "measure_col": "Vintage", + "item_col": "id", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8803ef2ccc50f5ebbeb05359353f5ec0be96c49f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-bb24-7ed0-ab70-47f1c4a4cdf5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5b96d362f880faa3df5ce1fff7b3eda90928d48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-bb24-7ed0-ab70-47f1c4a4cdf5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7c6edb850de78f0f2cb36eb125c6f20dd4adf72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ca9b-7050-b2c5-dff7c6efb398"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b45fa5bddc5e58a67274d44c4ceca494650644cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ca9b-7050-b2c5-dff7c6efb398"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/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/m11/artifacts/v2q_m11_b3a29de4d23e15c6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_b3a29de4d23e15c6/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/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d104072d6e6303ccbdca6386577b8da9f1cd7d5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/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": "2026-05-19T16:25:23.078502+00:00", + "ended_at": "2026-05-19T16:25:26.687809+00:00", + "elapsed_ms": 3609.27, + "returncode": 1, + "prompt_metrics": { + "chars": 8054, + "bytes_utf8": 8054, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9a8c18abf63bbe6907c8e4201d3d69a5bcfa7ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/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": "2026-05-19T16:25:27.691205+00:00", + "ended_at": "2026-05-19T16:25:30.658514+00:00", + "elapsed_ms": 2967.24, + "returncode": 1, + "prompt_metrics": { + "chars": 8054, + "bytes_utf8": 8054, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86481868939d4bb108df8972e8b449e2dbe56f04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Gender, condition_col=Vehicle_Damage.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Gender", + "condition_col": "Vehicle_Damage", + "condition_value": "Yes", + "positive_value": "Yes", + "negative_value": "No", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..86481868939d4bb108df8972e8b449e2dbe56f04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Gender, condition_col=Vehicle_Damage.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Gender", + "condition_col": "Vehicle_Damage", + "condition_value": "Yes", + "positive_value": "Yes", + "negative_value": "No", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..59fb7d02464c96814317d6ed37e7e811d6e85ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-670d-7c23-b8ad-ab89517c58e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..39dde9a3109d3ee1a505494aaacfbb7a69a03c69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-670d-7c23-b8ad-ab89517c58e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..86e4896dda821fd9b27fa941a1bb7057d7d19581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-7917-70c2-9a89-97cdc513349c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c697b9ac859380c3226ede7f60a4652a5fb40dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-7917-70c2-9a89-97cdc513349c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/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/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bc5f24f2b41c97fc/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/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae8a27b00cc6c00311bec1bfc010306b7763fefb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/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": "2026-05-19T16:12:30.558396+00:00", + "ended_at": "2026-05-19T16:12:33.764150+00:00", + "elapsed_ms": 3205.72, + "returncode": 1, + "prompt_metrics": { + "chars": 8220, + "bytes_utf8": 8220, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5698c7ce71810c1436107e50f4a3de6b60896769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/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": "2026-05-19T16:12:34.765939+00:00", + "ended_at": "2026-05-19T16:12:38.298527+00:00", + "elapsed_ms": 3532.56, + "returncode": 1, + "prompt_metrics": { + "chars": 8220, + "bytes_utf8": 8220, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07c77cd8acf9781b6ea3e26a09f80d5f484fd74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vintage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vintage", + "measure_col": "Policy_Sales_Channel", + "item_col": "Vintage", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..07c77cd8acf9781b6ea3e26a09f80d5f484fd74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Vintage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Vintage", + "measure_col": "Policy_Sales_Channel", + "item_col": "Vintage", + "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": 140.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06470cf13e34dba77353749234cc448c1cc01ddf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-9ce5-79d3-b9ed-b7d6e385eb03"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53e667b2018bb9fbef51a115b613fe766f9416d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-9ce5-79d3-b9ed-b7d6e385eb03"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62c4c6d53f66e41a3eb817f67e983489e65f8391 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ad44-7fe0-9f57-89b9da7945ba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7433621cd1a1986e523cb4084e62e2701667e9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ad44-7fe0-9f57-89b9da7945ba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/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/m11/artifacts/v2q_m11_bde7975967f51452/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bde7975967f51452/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/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..17e195a711d78bced488e923ec7b7f8aa2578d16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/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": "2026-05-19T16:24:42.581587+00:00", + "ended_at": "2026-05-19T16:24:45.507785+00:00", + "elapsed_ms": 2926.14, + "returncode": 1, + "prompt_metrics": { + "chars": 8071, + "bytes_utf8": 8071, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4273baa751b6a3ea775a4ee624a4828b62412362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/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": "2026-05-19T16:24:46.510148+00:00", + "ended_at": "2026-05-19T16:24:49.600155+00:00", + "elapsed_ms": 3089.95, + "returncode": 1, + "prompt_metrics": { + "chars": 8071, + "bytes_utf8": 8071, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5c769b894b459fe1064c29cbf08336c526556a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Policy_Sales_Channel, condition_col=Driving_License.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Policy_Sales_Channel", + "condition_col": "Driving_License", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5c769b894b459fe1064c29cbf08336c526556a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Policy_Sales_Channel, condition_col=Driving_License.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Policy_Sales_Channel", + "condition_col": "Driving_License", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dff49e5fc7bd27000bc5d91b17967399f18c9cd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-c8e2-7e02-be44-a8b3eca6845c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed9bfde65917ff77f874ff520e9c6e371a6c440e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-c8e2-7e02-be44-a8b3eca6845c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e742694faf321c77ce036c51b1798fd8f66fd54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-d838-7fa3-a635-ecd92673dc44"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9c6e7d312edabebd5223e8f16df07f41552b37c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-d838-7fa3-a635-ecd92673dc44"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/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/m11/artifacts/v2q_m11_bf75330a359d4a49/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_bf75330a359d4a49/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/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ce8ec3dece0b95645088cf012f549b00d88ac71c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/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": "2026-05-19T16:26:27.231423+00:00", + "ended_at": "2026-05-19T16:26:30.617291+00:00", + "elapsed_ms": 3385.82, + "returncode": 1, + "prompt_metrics": { + "chars": 8080, + "bytes_utf8": 8080, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0111553ea90edda67e8a00df48afdc57fff51fab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/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": "2026-05-19T16:26:31.619609+00:00", + "ended_at": "2026-05-19T16:26:35.214663+00:00", + "elapsed_ms": 3595.01, + "returncode": 1, + "prompt_metrics": { + "chars": 8080, + "bytes_utf8": 8080, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..27286dbc625ddf6d6170f69c8e7cb499d3954c72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Previously_Insured, condition_col=Previously_Insured.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Previously_Insured", + "condition_col": "Previously_Insured", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..27286dbc625ddf6d6170f69c8e7cb499d3954c72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Previously_Insured, condition_col=Previously_Insured.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Previously_Insured", + "condition_col": "Previously_Insured", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..956b307a50b38c5e1b0a652b329ca8f6b244027d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-617b-7d13-a8cf-578c4f0c337d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db9fcaa9d9477029372e8ec2a62d411c7786a641 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-617b-7d13-a8cf-578c4f0c337d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d739643f599f2a98dfe356c4437f0bd545123fd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-72d9-70a3-a887-d6b322177c2d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..adcd1aff534f0eb3cb522358fc21c8aacb245332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-72d9-70a3-a887-d6b322177c2d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/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/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c07c14bc3e3b5b0c/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/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4bceb52403de47b9ac30ffa11b1f614678761244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/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": "2026-05-19T16:20:03.376037+00:00", + "ended_at": "2026-05-19T16:20:06.584461+00:00", + "elapsed_ms": 3208.39, + "returncode": 1, + "prompt_metrics": { + "chars": 8337, + "bytes_utf8": 8337, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..170a5772dc3b493f8fec6fca11b940c9d06d4110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/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": "2026-05-19T16:20:07.587218+00:00", + "ended_at": "2026-05-19T16:20:10.908083+00:00", + "elapsed_ms": 3320.82, + "returncode": 1, + "prompt_metrics": { + "chars": 8337, + "bytes_utf8": 8337, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a60691795f9396583984dfe5d0179981317fad80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Response, measure_col=Age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Response", + "measure_col": "Age", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a60691795f9396583984dfe5d0179981317fad80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Response, measure_col=Age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Response", + "measure_col": "Age", + "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": 46.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..410eaef793231de6643725432d345474f3a2c656 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-85c8-7650-8fe0-e7b5d0af7467"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31a8d2e090f8fda947d6580849b900c9c181b788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-85c8-7650-8fe0-e7b5d0af7467"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..edc67b65e961a9f45183e7fead8f83228d25d747 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-9635-7983-bf76-10ceef02752c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1da42d6ddee71ac4c30c8159d34392a6e471c2cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-9635-7983-bf76-10ceef02752c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/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/m11/artifacts/v2q_m11_c458050265c43083/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_c458050265c43083/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/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a3ebc24a6f0b73e745f5717e17e74adf37af1ac0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/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": "2026-05-19T16:27:29.098527+00:00", + "ended_at": "2026-05-19T16:27:32.643373+00:00", + "elapsed_ms": 3544.81, + "returncode": 1, + "prompt_metrics": { + "chars": 7719, + "bytes_utf8": 7719, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e6074ed7d959ecd4f71d694746e0e9ceb003d609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/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": "2026-05-19T16:27:33.646085+00:00", + "ended_at": "2026-05-19T16:27:36.681507+00:00", + "elapsed_ms": 3035.35, + "returncode": 1, + "prompt_metrics": { + "chars": 7719, + "bytes_utf8": 7719, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f36ca73bd8f1729afaa1095910de1ced89acc5ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "top_k": 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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f36ca73bd8f1729afaa1095910de1ced89acc5ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "top_k": 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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ddc48987aabab8a12feb03b83f2098b23766036 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-5333-7ea2-8dcd-15e92536d059"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8df3ef073a485a05b54165ee003940b8b21b24f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-5333-7ea2-8dcd-15e92536d059"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..18b1cb1e0230233dc4ae48d3eb78e2ff9fc22cc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-64fd-7932-8d48-fbeea6bf3a00"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..baa5e2f2da30249ab026ee291e153b0820d77365 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-64fd-7932-8d48-fbeea6bf3a00"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/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/m11/artifacts/v2q_m11_ca5871a03e77eaef/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ca5871a03e77eaef/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/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..883ba6d3cc9fe93cb159a5e6dc07dca9ab809c2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/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": "2026-05-19T16:21:55.567497+00:00", + "ended_at": "2026-05-19T16:21:58.820949+00:00", + "elapsed_ms": 3253.42, + "returncode": 1, + "prompt_metrics": { + "chars": 7988, + "bytes_utf8": 7988, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2da48c0de80c8a81f2c09f01f517cd37e859afe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/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": "2026-05-19T16:21:59.822886+00:00", + "ended_at": "2026-05-19T16:22:06.722530+00:00", + "elapsed_ms": 6899.6, + "returncode": 1, + "prompt_metrics": { + "chars": 7988, + "bytes_utf8": 7988, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f2d758c8c87ea5039b1aab5d07d454bba09fd69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f2d758c8c87ea5039b1aab5d07d454bba09fd69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Damage, measure_col=Region_Code.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Region_Code", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff84bb354f1696ed4fa77ae4f058bf8a39a74bb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-3c2e-7430-b554-0c959ccfcee3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a40c96dea466f737d30413c05a30968147615ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-3c2e-7430-b554-0c959ccfcee3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c32f15d64b4ebadfa5abf70327b2a0f2289c9211 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-4c88-7253-b969-6113a1b3632e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f88f090ddb38cfd46bd35d00008adbaaabfcc685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-4c88-7253-b969-6113a1b3632e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/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/m11/artifacts/v2q_m11_cb17837ebd67fd37/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cb17837ebd67fd37/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/m11/artifacts/v2q_m11_cd142d057d9e7fd0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cd142d057d9e7fd0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5dc4924c80ac62135d1fc02de96e5a57de1004f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cd142d057d9e7fd0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-f331-7621-9e63-2f7c008bdac7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..05c38617e0cea7e7eddb41ee91e3d4407c63decf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/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": "2026-05-19T16:27:36.702312+00:00", + "ended_at": "2026-05-19T16:27:40.042597+00:00", + "elapsed_ms": 3340.24, + "returncode": 1, + "prompt_metrics": { + "chars": 7716, + "bytes_utf8": 7716, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dc021641fc5e951377fb83975ef17360d0898776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/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": "2026-05-19T16:27:41.044776+00:00", + "ended_at": "2026-05-19T16:27:45.491744+00:00", + "elapsed_ms": 4446.92, + "returncode": 1, + "prompt_metrics": { + "chars": 7716, + "bytes_utf8": 7716, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..61a78d69140139d70cba0343089c1cf8fd7d4538 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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": 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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..61a78d69140139d70cba0343089c1cf8fd7d4538 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "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": 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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c71a9069d9d9f8a5df411719844ab3529e459684 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-70f8-7e20-b5ce-ae8d8a29b19d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8f35bbbe7e3b22331de6f0607b275cc446ab4cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-70f8-7e20-b5ce-ae8d8a29b19d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..127dcfe2e2285f204b046c08d244ebf33ff5baf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-81ff-7820-9a08-ce1c35dc0646"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc8ad99768ce9a60405ba69efac31c6a4fb15f3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-81ff-7820-9a08-ce1c35dc0646"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/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/m11/artifacts/v2q_m11_cdd0e20828171bcb/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_cdd0e20828171bcb/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/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3afb65bd4a32dea5c32ee117bd8045586c572fae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/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": "2026-05-19T16:24:09.431618+00:00", + "ended_at": "2026-05-19T16:24:12.940601+00:00", + "elapsed_ms": 3508.95, + "returncode": 1, + "prompt_metrics": { + "chars": 7993, + "bytes_utf8": 7993, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..030d17af18a940d23ddb387c5a07726124bae246 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/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": "2026-05-19T16:24:13.942696+00:00", + "ended_at": "2026-05-19T16:24:17.363940+00:00", + "elapsed_ms": 3421.19, + "returncode": 1, + "prompt_metrics": { + "chars": 7993, + "bytes_utf8": 7993, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..273e398cfeefd244ac9f25cf567dad0ef0c89578 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..273e398cfeefd244ac9f25cf567dad0ef0c89578 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Region_Code, measure_col=Annual_Premium.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Region_Code", + "measure_col": "Annual_Premium", + "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": 43912.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..73bb09243393cbeac4250056da14f094820f8462 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-476b-7d22-9f9a-f8f0fb263a79"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4bd18d7d349aad5643588be9dadce36553ae28cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-476b-7d22-9f9a-f8f0fb263a79"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..51220ceb49b8b9456672bbfce36138c7928af4c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-58ed-7750-b14e-be7361ee472a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6569ab8e4aa7ae1444adb377d44e3ea295596064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-58ed-7750-b14e-be7361ee472a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/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/m11/artifacts/v2q_m11_ced39108eb152ee5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ced39108eb152ee5/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/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..417482471b3ea188fbb2e3183ef92b4bb81368e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/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": "2026-05-19T16:25:30.677218+00:00", + "ended_at": "2026-05-19T16:25:34.101326+00:00", + "elapsed_ms": 3424.06, + "returncode": 1, + "prompt_metrics": { + "chars": 8050, + "bytes_utf8": 8050, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e7b71e02c0e5594c06a938a3ae3e353c1d671ac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/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": "2026-05-19T16:25:35.104181+00:00", + "ended_at": "2026-05-19T16:25:38.397276+00:00", + "elapsed_ms": 3293.03, + "returncode": 1, + "prompt_metrics": { + "chars": 8050, + "bytes_utf8": 8050, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c00ee54bfad7f2cfb0e70de0ef863aea59d540f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Gender, condition_col=Vehicle_Damage.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Gender", + "condition_col": "Vehicle_Damage", + "condition_value": "No", + "positive_value": "Yes", + "negative_value": "No", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c00ee54bfad7f2cfb0e70de0ef863aea59d540f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Gender, condition_col=Vehicle_Damage.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Gender", + "condition_col": "Vehicle_Damage", + "condition_value": "No", + "positive_value": "Yes", + "negative_value": "No", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c336ea507c3955b081e582a8e1b89d9f849c1b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-84b7-7330-a0a8-5a2127b22a39"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf270d42307c7b1a392607cf08c986e7affe0ad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-84b7-7330-a0a8-5a2127b22a39"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0563015b9cacc1c5ff6c1e0574fabb70e1bbcf70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-95f0-78a1-a645-a862d250d922"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b291c46e21d450ffbd17a399062aae1f2649697d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-95f0-78a1-a645-a862d250d922"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/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/m11/artifacts/v2q_m11_d05fe77b76a18866/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d05fe77b76a18866/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/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e66826c3c9f7584d597315b43c2c2b93fb85cdef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/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": "2026-05-19T16:21:31.671488+00:00", + "ended_at": "2026-05-19T16:21:34.893476+00:00", + "elapsed_ms": 3221.96, + "returncode": 1, + "prompt_metrics": { + "chars": 7963, + "bytes_utf8": 7963, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..573e44374a18e5554198c8d9bb9301c51cba9a1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:21:35.895935+00:00", + "ended_at": "2026-05-19T16:21:40.477055+00:00", + "elapsed_ms": 4581.08, + "returncode": 1, + "prompt_metrics": { + "chars": 7963, + "bytes_utf8": 7963, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef73598df72d7bb010ce37ac246c1575d9e1594a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef73598df72d7bb010ce37ac246c1575d9e1594a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Vehicle_Age, measure_col=Age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Vehicle_Age", + "measure_col": "Age", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d825565edd6e504870f15c59e72fbc330f8ab36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-dea0-7f80-9416-c1779cce86be"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30faa69915049be4abe4dc3e3ca19f0d120f43b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-dea0-7f80-9416-c1779cce86be"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2125abe04ea7b7d3346edff143afa3183a7f5ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-ef1c-70b3-8035-b9a3c1a8ab4d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..040eec85eef29add0c125296487c20415e472c46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-ef1c-70b3-8035-b9a3c1a8ab4d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/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/m11/artifacts/v2q_m11_d14e78ec66438450/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d14e78ec66438450/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/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c9fa59882c4cac71b6f12b5f107ed28aef4901d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/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": "2026-05-19T16:18:11.211353+00:00", + "ended_at": "2026-05-19T16:18:14.302484+00:00", + "elapsed_ms": 3091.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8350, + "bytes_utf8": 8350, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c8548ab66fdb50fe2c7fe90d0322bd0d51f07e22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/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": "2026-05-19T16:18:15.306164+00:00", + "ended_at": "2026-05-19T16:18:18.679747+00:00", + "elapsed_ms": 3373.52, + "returncode": 1, + "prompt_metrics": { + "chars": 8350, + "bytes_utf8": 8350, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..297554d05d13242da7c628cf57f358afe4d68ae7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Driving_License, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Driving_License", + "measure_col": "id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..297554d05d13242da7c628cf57f358afe4d68ae7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Driving_License, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Driving_License", + "measure_col": "id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0236fbe22927283422f9c04dbe03e09a3cedd97a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-d041-7340-99aa-0208b826a8f9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1871daed801fefa484a0c26f69502492ecbde4fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-d041-7340-99aa-0208b826a8f9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3243ae72391b9aed99b2d1f00acb2680532ffe8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-dffe-7e50-8502-307840bf4c4b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca13db8d2ca2dc5b32282b9c6dd351dbd3bad640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-dffe-7e50-8502-307840bf4c4b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/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/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d30fbd4bd9b30dff/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/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9b41a412ebf2a2ddbe0550af74ee1b5188f00f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/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": "2026-05-19T16:28:33.090834+00:00", + "ended_at": "2026-05-19T16:28:36.400969+00:00", + "elapsed_ms": 3310.1, + "returncode": 1, + "prompt_metrics": { + "chars": 7795, + "bytes_utf8": 7795, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ad78f790a79a4a6b8e2e2a6339e47ec6f02bbd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/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": "2026-05-19T16:28:37.403630+00:00", + "ended_at": "2026-05-19T16:28:40.447322+00:00", + "elapsed_ms": 3043.62, + "returncode": 1, + "prompt_metrics": { + "chars": 7795, + "bytes_utf8": 7795, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..91a37684453e1926f1c01da56255e1c0b64556ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Driving_License.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Driving_License", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..91a37684453e1926f1c01da56255e1c0b64556ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Driving_License.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Driving_License", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d82abbe33ed4e43613d686d6408963909307f34e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-4d48-7520-8be7-07d8d321b36a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..600349f080bfbb2405f1fadec6abed9cdc660494 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-4d48-7520-8be7-07d8d321b36a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b7bf47c717c54cbad28755de19589172534cb4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-5e07-7b60-a6f3-46d734193493"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..60a7ff4fdfe61b572fc70376407a90090ae2c44f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-5e07-7b60-a6f3-46d734193493"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/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/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d3b1dc6101d6a01c/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/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..11f5c40ccdc3df6ce0f3e3f1d7f0b55302c2eaf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/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": "2026-05-19T16:11:33.158977+00:00", + "ended_at": "2026-05-19T16:11:35.986757+00:00", + "elapsed_ms": 2827.74, + "returncode": 1, + "prompt_metrics": { + "chars": 8205, + "bytes_utf8": 8205, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8abec642d4c88bdb26965f6988b16451fbe74309 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:11:36.988378+00:00", + "ended_at": "2026-05-19T16:11:40.424458+00:00", + "elapsed_ms": 3436.05, + "returncode": 1, + "prompt_metrics": { + "chars": 8205, + "bytes_utf8": 8205, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3b9b0f562bfb99982615ede92a20ebc01f19791 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "item_col": "Age", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3b9b0f562bfb99982615ede92a20ebc01f19791 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "item_col": "Age", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be2357e455d48c15996a82a00732b9a437bbe29a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-bca5-71b1-81ee-a715776b877c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e76430bccef13e21aab2d8ab7cb1a0e53beaefdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-bca5-71b1-81ee-a715776b877c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5e6e911452ddba5d69acabe9c642d3d5a06d638 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-cbeb-7c00-a68c-053b0070d239"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..803d7dc82b7ae93cd0e69554e313f27660c3fce5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-cbeb-7c00-a68c-053b0070d239"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/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/m11/artifacts/v2q_m11_d9b768a81df1a4c7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_d9b768a81df1a4c7/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/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1c09e7aaa7abed13456e4039a8e2f7fc93add2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/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": "2026-05-19T16:18:03.737436+00:00", + "ended_at": "2026-05-19T16:18:07.120192+00:00", + "elapsed_ms": 3382.7, + "returncode": 1, + "prompt_metrics": { + "chars": 7967, + "bytes_utf8": 7967, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8f689c471e5ebfdd7a506845e0497664e5a37a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/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": "2026-05-19T16:18:08.122969+00:00", + "ended_at": "2026-05-19T16:18:11.192762+00:00", + "elapsed_ms": 3069.7, + "returncode": 1, + "prompt_metrics": { + "chars": 7967, + "bytes_utf8": 7967, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3214c45f89baf5ad1f7f8036424867e853076dc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region_Code.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3214c45f89baf5ad1f7f8036424867e853076dc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region_Code.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Region_Code", + "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": 24.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e38b7320adcd193fc60b422562935edcee5baebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-b2e7-79c1-adda-c9c160ce0e41"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..202f28185beda8a04133b6d25cbe22aa4cb1aeac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-b2e7-79c1-adda-c9c160ce0e41"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdbcaff9666f6d7d915d436f01dba7079c502d19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-c3f9-79f3-b903-ab553c5a1e3e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6d2a74250cf415ed43b673743e37074d98a7a41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-c3f9-79f3-b903-ab553c5a1e3e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/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/m11/artifacts/v2q_m11_da3ce69e3aa14437/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_da3ce69e3aa14437/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/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee7b118dd4c2c64a58ee3becc508dbec9279455a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/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": "2026-05-19T16:25:46.795836+00:00", + "ended_at": "2026-05-19T16:25:50.263426+00:00", + "elapsed_ms": 3467.52, + "returncode": 1, + "prompt_metrics": { + "chars": 8023, + "bytes_utf8": 8023, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2052290819fb5b4f581056f01a22a4f143da3cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/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": "2026-05-19T16:25:51.266520+00:00", + "ended_at": "2026-05-19T16:25:54.734532+00:00", + "elapsed_ms": 3467.95, + "returncode": 1, + "prompt_metrics": { + "chars": 8023, + "bytes_utf8": 8023, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..51d1182ad96dbba1d670629e693856cbcecaafa4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Age, condition_col=Response.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Age", + "condition_col": "Response", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..51d1182ad96dbba1d670629e693856cbcecaafa4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Age, condition_col=Response.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Age", + "condition_col": "Response", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0ff2d6e497830ed753d494910170eee68c3bf1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-c3a8-7621-856c-e8f8224f838b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d57a52f27e1835c1fb5d72b4dffc955bf13c40f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-c3a8-7621-856c-e8f8224f838b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a39412de60886e55aad73a793a94397cb0041df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-d505-7901-9dff-146869d2c37a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0506164a6edf9babb83828abdfdaadb50e5afb45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-d505-7901-9dff-146869d2c37a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/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/m11/artifacts/v2q_m11_dd8a236b98e80c7f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dd8a236b98e80c7f/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/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8326411002c94ff3df9e874751a6aaca2f050d22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/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": "2026-05-19T16:30:14.932271+00:00", + "ended_at": "2026-05-19T16:30:19.080451+00:00", + "elapsed_ms": 4148.13, + "returncode": 1, + "prompt_metrics": { + "chars": 7867, + "bytes_utf8": 7867, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..744665960a8be1cd02e0256b14a370d676a70203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/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": "2026-05-19T16:30:20.083077+00:00", + "ended_at": "2026-05-19T16:30:23.237514+00:00", + "elapsed_ms": 3154.39, + "returncode": 1, + "prompt_metrics": { + "chars": 7867, + "bytes_utf8": 7867, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66f0ea3d8179f83c3c6e6e9592d172ded331f17b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Region_Code, measure_col=Age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Region_Code", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66f0ea3d8179f83c3c6e6e9592d172ded331f17b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Region_Code, measure_col=Age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Region_Code", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..10458c6ec1d10c20299fbb148028ec60c2f5324e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-dafc-73c0-b2bf-d8eb3cff2b56"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e84930e34faa4c3c489dbecdd33efa809228945c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-dafc-73c0-b2bf-d8eb3cff2b56"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56db97e5b9985a398fc04dd08d8abef16a6fb786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-ef36-7a90-bb21-d8eca83b7bc0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..eba05a01d78a83d54777356c4abcf67b0e1ba0df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-ef36-7a90-bb21-d8eca83b7bc0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/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/m11/artifacts/v2q_m11_ddea04e9bc06030d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ddea04e9bc06030d/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/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..55d012ba0bd8742c6ebd93a2813f8e85f3964307 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/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": "2026-05-19T16:15:32.742088+00:00", + "ended_at": "2026-05-19T16:15:35.569982+00:00", + "elapsed_ms": 2827.86, + "returncode": 1, + "prompt_metrics": { + "chars": 8103, + "bytes_utf8": 8103, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..30ad11cf93bd57f96e837ab57d19a8a1a69d5c25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/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": "2026-05-19T16:15:36.572562+00:00", + "ended_at": "2026-05-19T16:15:39.388808+00:00", + "elapsed_ms": 2816.2, + "returncode": 1, + "prompt_metrics": { + "chars": 8103, + "bytes_utf8": 8103, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb40d535a66486f69b623c4f50803eb56536f98b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Vehicle_Age.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Vehicle_Age", + "predicate_col": "Gender", + "predicate_op": "=", + "predicate_value": "Female", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb40d535a66486f69b623c4f50803eb56536f98b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,244 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Gender, group_col_2=Vehicle_Age.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Gender", + "group_col_2": "Vehicle_Age", + "predicate_col": "Gender", + "predicate_op": "=", + "predicate_value": "Female", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ea45b0667b28e153123f8fd3e6bda8d3e2e01b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-649b-7482-a49f-722608437683"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..550b457c675013c6244ede1c2cba17b08e4e8076 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-649b-7482-a49f-722608437683"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcebdba14c5ca76e8bcd081f77277cdae1204735 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-739e-7550-99b6-1dc22ac50612"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f4eec560f71d6bbce80b3929dda51876e29a7a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-739e-7550-99b6-1dc22ac50612"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/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/m11/artifacts/v2q_m11_dfdd2db41f2802ed/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_dfdd2db41f2802ed/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/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cec62de4bf96b14894089372c777aa568a3f108d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:31:01.649849+00:00", + "ended_at": "2026-05-19T16:31:04.924957+00:00", + "elapsed_ms": 3275.06, + "returncode": 1, + "prompt_metrics": { + "chars": 7913, + "bytes_utf8": 7913, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7b37da578a9b39b199bfb48c0959fc8c108a97e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/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": "2026-05-19T16:31:05.927056+00:00", + "ended_at": "2026-05-19T16:31:09.088759+00:00", + "elapsed_ms": 3161.66, + "returncode": 1, + "prompt_metrics": { + "chars": 7913, + "bytes_utf8": 7913, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ac3e7e03517398673a05e3b4d01ce928a0d867c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ac3e7e03517398673a05e3b4d01ce928a0d867c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Vehicle_Damage, measure_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Vehicle_Damage", + "measure_col": "Policy_Sales_Channel", + "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": 152.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40dda98b7b4af6640a37ba5fd72fab90420669d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-9191-7cd2-b413-3277245e6570"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..acc0b1c12959ce5bac1d8916a1f5641e0c9a5530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-9191-7cd2-b413-3277245e6570"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ca0ddee588b4219751c84b543eebcb9ced09b16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-a237-72f3-a863-8f444493fedb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..357ef2d774e0363f7b91ef74a75b437c630f1644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-a237-72f3-a863-8f444493fedb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/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/m11/artifacts/v2q_m11_e4b71e94b870829c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e4b71e94b870829c/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/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e57f6967aebf81a7ff71f053da2255f22217a867 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/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": "2026-05-19T16:11:03.250128+00:00", + "ended_at": "2026-05-19T16:11:07.385833+00:00", + "elapsed_ms": 4135.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7723, + "bytes_utf8": 7723, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b585a0c7e769a3bacf319f96966d6b0256d69a9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/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": "2026-05-19T16:11:08.387610+00:00", + "ended_at": "2026-05-19T16:11:11.650964+00:00", + "elapsed_ms": 3263.32, + "returncode": 1, + "prompt_metrics": { + "chars": 7723, + "bytes_utf8": 7723, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8943f29bd53af253c795c7f58f7b4b5bb180b32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Policy_Sales_Channel", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8943f29bd53af253c795c7f58f7b4b5bb180b32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Policy_Sales_Channel.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Policy_Sales_Channel", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a11acb08beb47f21e1abe77e8e12f7960998701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-47d4-75e2-9371-6feff0e3a03e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5135c92f0e8455024dd2ccf9023e5150bef664c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-47d4-75e2-9371-6feff0e3a03e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c06f5d405babdcb33ed911b8335503377585401d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-5bff-7290-aff1-c4ef9464b5ac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4394f64486ae24d031b3feaed8771f26bb25d0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-5bff-7290-aff1-c4ef9464b5ac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/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/m11/artifacts/v2q_m11_e55ca57880c87c16/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e55ca57880c87c16/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/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96def4d8466451cabca799e15992a17cf7babedd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/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": "2026-05-19T16:26:09.559095+00:00", + "ended_at": "2026-05-19T16:26:13.769552+00:00", + "elapsed_ms": 4210.41, + "returncode": 1, + "prompt_metrics": { + "chars": 8046, + "bytes_utf8": 8046, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8f700f08ae22ffbc61164a733249e6971b57c11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/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": "2026-05-19T16:26:14.772976+00:00", + "ended_at": "2026-05-19T16:26:18.189014+00:00", + "elapsed_ms": 3415.94, + "returncode": 1, + "prompt_metrics": { + "chars": 8046, + "bytes_utf8": 8046, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..491bbb02588dd9213a1ebfc8e6d78ab02f1d37b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Region_Code, condition_col=Driving_License.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Region_Code", + "condition_col": "Driving_License", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..491bbb02588dd9213a1ebfc8e6d78ab02f1d37b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Region_Code, condition_col=Driving_License.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Region_Code", + "condition_col": "Driving_License", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 49.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0dcd6ff651177f135a2621ddb16d07d9e580f60d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-1ca6-7560-9a31-2edd193d57f3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cb9bbfa3c6541510f35d2ede15482e96461092d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-1ca6-7560-9a31-2edd193d57f3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c244589144c34efe5433f9d1bc47aa7d1644651 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-30eb-73a3-8afc-cf93f9d794de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4d06862df508eedbc0841f1d3ebf065511e7ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-30eb-73a3-8afc-cf93f9d794de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/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/m11/artifacts/v2q_m11_e742588b07b3d91e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e742588b07b3d91e/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/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d24ef3d760381ae341a405e7a9cc211d381d92c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/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": "2026-05-19T16:17:34.604622+00:00", + "ended_at": "2026-05-19T16:17:38.039972+00:00", + "elapsed_ms": 3435.25, + "returncode": 1, + "prompt_metrics": { + "chars": 7958, + "bytes_utf8": 7958, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee042529507cd4ec6bfa4d00e9caaf56aecc703e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/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": "2026-05-19T16:17:39.043308+00:00", + "ended_at": "2026-05-19T16:17:42.100404+00:00", + "elapsed_ms": 3057.02, + "returncode": 1, + "prompt_metrics": { + "chars": 7958, + "bytes_utf8": 7958, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ee5f2d4b7fee864c52e05355d7b6a76d8317119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Vintage.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ee5f2d4b7fee864c52e05355d7b6a76d8317119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Vintage.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..109a4d5f8c0560dd047c954f88121061645be978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-4125-7f53-a89b-dc83a169bd33"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b4bd081036bba5b22fed5749fa0d6ddc2389366 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-4125-7f53-a89b-dc83a169bd33"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8271c114c9e0575aa92cef673a79796f31af0f04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5256-7c80-9cf8-f62a1d211901"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9ccb61fd0533c57b0bef3f6343742dd4d7d060d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5256-7c80-9cf8-f62a1d211901"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/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/m11/artifacts/v2q_m11_e9ad16ea0807194a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_e9ad16ea0807194a/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/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06688936d85a6f4019e3801ff81f87958b06b58b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/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": "2026-05-19T16:31:16.867751+00:00", + "ended_at": "2026-05-19T16:31:21.458740+00:00", + "elapsed_ms": 4590.94, + "returncode": 1, + "prompt_metrics": { + "chars": 7893, + "bytes_utf8": 7893, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f775690e1e2165c9e69ee7b32ecd49178a38e69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/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": "2026-05-19T16:31:22.461645+00:00", + "ended_at": "2026-05-19T16:31:25.823896+00:00", + "elapsed_ms": 3362.17, + "returncode": 1, + "prompt_metrics": { + "chars": 7893, + "bytes_utf8": 7893, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19c3a55d0b21bd84a36a6fde5039e67389fd826a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Policy_Sales_Channel, measure_col=Vintage.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..19c3a55d0b21bd84a36a6fde5039e67389fd826a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Policy_Sales_Channel, measure_col=Vintage.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Policy_Sales_Channel", + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d94ce170726b6fecd5ef28e5da263740eaafd36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-ccf4-7c92-bc84-499f3fdd9758"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c138aadabc83912c423cbc8cc38d30180e2f56d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-ccf4-7c92-bc84-499f3fdd9758"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dce3df928a2c9ea51c5a78e1c9bc28cb2905b354 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-e2d1-7180-8a6f-ee36ef1525c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3727f2a101480269bd0abec626016510b0f98815 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-e2d1-7180-8a6f-ee36ef1525c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/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/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_ee907c1fbc60fcd1/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/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c0a1b7a5820b928a8b0f01a3c47addee4abdd5a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/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": "2026-05-19T16:24:17.392688+00:00", + "ended_at": "2026-05-19T16:24:20.786818+00:00", + "elapsed_ms": 3394.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8063, + "bytes_utf8": 8063, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0343bbf21c8784e2b40f4966aeefef6c48f9e4d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/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": "2026-05-19T16:24:21.789315+00:00", + "ended_at": "2026-05-19T16:24:25.265937+00:00", + "elapsed_ms": 3476.58, + "returncode": 1, + "prompt_metrics": { + "chars": 8063, + "bytes_utf8": 8063, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e7cd1a798b9d378a56d5aa4c8bbacafea43d0a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Vehicle_Damage, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Vehicle_Damage", + "condition_col": "Gender", + "condition_value": "Male", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e7cd1a798b9d378a56d5aa4c8bbacafea43d0a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,243 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Vehicle_Damage, condition_col=Gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Vehicle_Damage", + "condition_col": "Gender", + "condition_value": "Male", + "positive_value": "Male", + "negative_value": "Female", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1e3190e6c03b2549f573ed9495e0b83799e842e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-6676-70a2-aa1e-f6506da252dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6dee1060698d11627a7ce59a5cc0853b80be62c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-6676-70a2-aa1e-f6506da252dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..405394b65eeebe7d2f08dcda4cd47b547edc60b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-777f-7c61-9845-315177c9219f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f929b7f7d989dd0f99e5af6a99f4ebebcc288000 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-777f-7c61-9845-315177c9219f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/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/m11/artifacts/v2q_m11_f21a1baa071e32bb/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f21a1baa071e32bb/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/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db2293bf673d97e4423f481e89673bbb5f3e37be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/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": "2026-05-19T16:27:21.574551+00:00", + "ended_at": "2026-05-19T16:27:24.537803+00:00", + "elapsed_ms": 2963.2, + "returncode": 1, + "prompt_metrics": { + "chars": 7724, + "bytes_utf8": 7724, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..75d794d511ade3cc41b41166aecd3c5ccedfbaf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/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": "2026-05-19T16:27:25.542684+00:00", + "ended_at": "2026-05-19T16:27:29.077851+00:00", + "elapsed_ms": 3535.1, + "returncode": 1, + "prompt_metrics": { + "chars": 7724, + "bytes_utf8": 7724, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b16608547deb4b2ec54d6839ede54e3658af18d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Vintage.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b16608547deb4b2ec54d6839ede54e3658af18d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,238 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Vintage.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Vintage", + "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": 71.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d642375e6fb853bd96a87cafe317836d1be68608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-35d7-7a60-894e-65edd70c3d60"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06b2234054fefa9c272b06c3a5fb8593db603b4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-35d7-7a60-894e-65edd70c3d60"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a31e6c7443b65636d1f468f665201c516db624d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-4553-78c0-b702-227125eaf808"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..628bf096cde72528f281677e6117b7ec14d28b19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-4553-78c0-b702-227125eaf808"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/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/m11/artifacts/v2q_m11_f242d7ce8effa28c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f242d7ce8effa28c/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/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e993c0b1ffdc9cc38f2dbca4904261a834daede --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/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": "2026-05-19T16:12:53.129943+00:00", + "ended_at": "2026-05-19T16:12:56.168590+00:00", + "elapsed_ms": 3038.62, + "returncode": 1, + "prompt_metrics": { + "chars": 8183, + "bytes_utf8": 8183, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66b2eef9df1acccd30140332f5af08269460f479 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/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": "2026-05-19T16:12:57.170418+00:00", + "ended_at": "2026-05-19T16:13:01.425206+00:00", + "elapsed_ms": 4254.76, + "returncode": 1, + "prompt_metrics": { + "chars": 8183, + "bytes_utf8": 8183, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fca619182ed03c88d0350b5e139dc4be3a40e5f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Gender, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Gender", + "measure_col": "id", + "item_col": "Age", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fca619182ed03c88d0350b5e139dc4be3a40e5f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,242 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Gender, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Gender", + "measure_col": "id", + "item_col": "Age", + "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": 340589.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5601ec17627353f6cf8e1ee8c1e37e8cd8a37617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-f506-7d23-90dd-74e51282fd6b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f18af312d43d402a721c7d5293b1ef9ec34c27ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-f506-7d23-90dd-74e51282fd6b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd87d9e8c457716cfcb51eaaa1b44f6d97a9e6a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-04e8-7323-87ec-2c8e1d78049e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..45f7bc87e5391275de46499411a0fe2ecb45652d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-04e8-7323-87ec-2c8e1d78049e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/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/m11/artifacts/v2q_m11_f306508d492b4c22/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f306508d492b4c22/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/m11/artifacts/v2q_m11_f79f3d6ae3993aad/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f79f3d6ae3993aad/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..abc8f763f49cf2a1e61624d5623d39bdc08b3633 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_f79f3d6ae3993aad/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": "2026-05-19T16:23:09.961845+00:00", + "ended_at": "2026-05-19T16:23:14.149784+00:00", + "elapsed_ms": 4187.9, + "returncode": 1, + "prompt_metrics": { + "chars": 7970, + "bytes_utf8": 7970, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..37a0412ad936ce03289581c3fe4ff90c3995a628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/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": "2026-05-19T16:21:23.920912+00:00", + "ended_at": "2026-05-19T16:21:27.053257+00:00", + "elapsed_ms": 3132.32, + "returncode": 1, + "prompt_metrics": { + "chars": 7982, + "bytes_utf8": 7982, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8c4bcba85dadb1e308f7d123341c02d1b4da7c5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/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": "2026-05-19T16:21:28.054886+00:00", + "ended_at": "2026-05-19T16:21:31.660420+00:00", + "elapsed_ms": 3605.5, + "returncode": 1, + "prompt_metrics": { + "chars": 7982, + "bytes_utf8": 7982, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2e86e4e07c1ecd9f99c40a7d6d267636523d86b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2e86e4e07c1ecd9f99c40a7d6d267636523d86b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,240 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m11 +- dataset_name: Health Insurance Cross Sell Prediction +- table_name: m11 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Previously_Insured`. +- task_type: classification +- target_column: Previously_Insured +- main_row_count: 381109 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- Gender: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Gender. +- Age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Age. +- Driving_License: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Driving License. +- Region_Code: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region Code. +- Previously_Insured: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Previously Insured. +- Vehicle_Age: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Age. +- Vehicle_Damage: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Vehicle Damage. +- Annual_Premium: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Annual Premium. +- Policy_Sales_Channel: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Policy Sales Channel. +- Vintage: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Vintage. +- Response: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Response. +- useful_field_combinations: [['Gender', 'Age', 'Previously_Insured'], ['Gender', 'Gender', 'Previously_Insured']] +- fields_requiring_caution: ['Previously_Insured', 'Annual_Premium', 'Vintage'] +- source_url: https://www.kaggle.com/datasets/anmolkumar/health-insurance-cross-sell-prediction + +SQLite schema snapshot: +{ + "table_name": "m11", + "quoted_table_name": "\"m11\"", + "row_count": 381109, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Driving_License", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region_Code", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Previously_Insured", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vehicle_Damage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Annual_Premium", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Policy_Sales_Channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Vintage", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "1", + "Gender": "Male", + "Age": "44", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "40454.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "217", + "Response": "1" + }, + { + "id": "2", + "Gender": "Male", + "Age": "76", + "Driving_License": "1", + "Region_Code": "3.0", + "Previously_Insured": "0", + "Vehicle_Age": "1-2 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "33536.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "183", + "Response": "0" + }, + { + "id": "3", + "Gender": "Male", + "Age": "47", + "Driving_License": "1", + "Region_Code": "28.0", + "Previously_Insured": "0", + "Vehicle_Age": "> 2 Years", + "Vehicle_Damage": "Yes", + "Annual_Premium": "38294.0", + "Policy_Sales_Channel": "26.0", + "Vintage": "27", + "Response": "1" + }, + { + "id": "4", + "Gender": "Male", + "Age": "21", + "Driving_License": "1", + "Region_Code": "11.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "28619.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "203", + "Response": "0" + }, + { + "id": "5", + "Gender": "Female", + "Age": "29", + "Driving_License": "1", + "Region_Code": "41.0", + "Previously_Insured": "1", + "Vehicle_Age": "< 1 Year", + "Vehicle_Damage": "No", + "Annual_Premium": "27496.0", + "Policy_Sales_Channel": "152.0", + "Vintage": "39", + "Response": "0" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m11", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Previously_Insured, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Previously_Insured", + "measure_col": "id", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 300232.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c524ea0bf2e94131e96dfd82ee1bc4b9a49a5dfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-c054-70b2-adfb-d1017e9b1773"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77ec7c9fa6887c73531c95f8c76a79d09327e912 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-c054-70b2-adfb-d1017e9b1773"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4d1ce446ee5896284d94aa70fa24b566e52a355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-d086-7682-9bf2-a12819f9f14c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e79ef2c66bf367904fff9328faa3b281edf16a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-d086-7682-9bf2-a12819f9f14c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/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/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m11/artifacts/v2q_m11_fb177c9552c355aa/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391