diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..970fc15fc32ddc6298ce1b50daba9e37294aa550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8211, "bytes_utf8": 8211, "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": 729, "bytes_utf8": 729, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14418, "cached_input_tokens": 13696, "output_tokens": 602, "reasoning_output_tokens": 406}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c0d9476191912aac6f80d948b5126e8be8390667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0088d25a69094734", + "api_calls": 0, + "input_tokens": 14418, + "cached_input_tokens": 13696, + "output_tokens": 602, + "total_tokens": 15020, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16686.75, + "sql_execution_elapsed_ms_total": 4.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1e6a277db2d61d2c253d48b6424bcc09b9ff98ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:26.303753+00:00", + "ended_at": "2026-05-19T15:47:42.990553+00:00", + "elapsed_ms": 16686.75, + "prompt_metrics": { + "chars": 8211, + "bytes_utf8": 8211, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1105, + "bytes_utf8": 1105, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 729, + "bytes_utf8": 729, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14418, + "cached_input_tokens": 13696, + "output_tokens": 602, + "reasoning_output_tokens": 406 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88d1666e0ffd8933a5de123b6684ce713518cb4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..654f3594b04c189dda2507c083cc4f2f106759b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-a94e-7bc1-9a63-af4019d4bfdf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n GROUP BY \\\"ever_married\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"ever_married\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"ever_married\\\" and measure_col=\\\"bmi\\\". Because \\\"bmi\\\" is stored as TEXT and may contain empty strings, the query casts non-empty values to REAL and excludes blanks before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14418,"cached_input_tokens":13696,"output_tokens":602,"reasoning_output_tokens":406}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae6788b18163525b62cc33c5a5165db3d7c8f90a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"ever_married\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS group_value\n FROM \"m7\"\n WHERE NULLIF(\"bmi\", '') IS NOT NULL\n GROUP BY \"ever_married\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"ever_married\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the planned template with group_col=\"ever_married\" and measure_col=\"bmi\". Because \"bmi\" is stored as TEXT and may contain empty strings, the query casts non-empty values to REAL and excludes blanks before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0fd4755a8b1aa9a3ec105badac19f4a6b98912b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7915, "bytes_utf8": 7915, "lines": 243, "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": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14344, "cached_input_tokens": 12032, "output_tokens": 422, "reasoning_output_tokens": 307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f7b96693ac69c835695106777381479f67e89ca8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_018abcbfdff638e0", + "api_calls": 0, + "input_tokens": 14344, + "cached_input_tokens": 12032, + "output_tokens": 422, + "total_tokens": 14766, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10173.7, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d42092b159602c1d977315bc9187e6267a1f2ac3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:08.153199+00:00", + "ended_at": "2026-05-19T16:00:18.326925+00:00", + "elapsed_ms": 10173.7, + "prompt_metrics": { + "chars": 7915, + "bytes_utf8": 7915, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 772, + "bytes_utf8": 772, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 405, + "bytes_utf8": 405, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14344, + "cached_input_tokens": 12032, + "output_tokens": 422, + "reasoning_output_tokens": 307 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..506ece304e130ad4d674864ea86bf6097ea600ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=ever_married, condition_col=ever_married.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ever_married", + "condition_col": "ever_married", + "condition_value": "Yes", + "positive_value": "Yes", + "negative_value": "No", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..92790f64401eda571a8757398681814a8b6c3463 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-48e2-75b2-938b-fc189d0307aa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ever_married\\\",\\n AVG(CASE WHEN \\\"ever_married\\\" = 'Yes' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Instantiated the Grouped Condition Rate template with \\\"group_col\\\" and \\\"condition_col\\\" both bound to \\\"ever_married\\\", using condition_value = 'Yes'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14344,"cached_input_tokens":12032,"output_tokens":422,"reasoning_output_tokens":307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3681b8a3cbe42065ae94bbefafda6c56ec3cb85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"ever_married\",\n AVG(CASE WHEN \"ever_married\" = 'Yes' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"condition_rate\" DESC;","notes":"Instantiated the Grouped Condition Rate template with \"group_col\" and \"condition_col\" both bound to \"ever_married\", using condition_value = 'Yes'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03a7b154b5d7be3ce45bce8e9de7e2d046397fd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8050, "bytes_utf8": 8050, "lines": 242, "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": 534, "bytes_utf8": 534, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14393, "cached_input_tokens": 13696, "output_tokens": 673, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92ac2b7776679e1c69c9eba73c01694f815c560d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_01d4023046378f99", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 673, + "total_tokens": 15066, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13040.65, + "sql_execution_elapsed_ms_total": 4.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b0c9f1bfdbb39e770e98e325c5d897f171b45585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:48.437397+00:00", + "ended_at": "2026-05-19T15:38:01.478078+00:00", + "elapsed_ms": 13040.65, + "prompt_metrics": { + "chars": 8050, + "bytes_utf8": 8050, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 919, + "bytes_utf8": 919, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 534, + "bytes_utf8": 534, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 673, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3122b4755b354cfb064da857f4b05df55036d0ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"gender\", \"age\",\n SUM(CAST(\"id\" AS NUMERIC)) AS total_measure,\n SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"gender\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"gender\", \"age\"\nORDER BY share_within_group DESC\nLIMIT 12;","notes":"Uses the requested template with group_col=\"gender\", item_col=\"age\", and measure_col=\"id\". CAST is applied because \"id\" is stored as TEXT in SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17aeac48107722a4dcc6a3735f8f06d4c2f1bc91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7646, "bytes_utf8": 7646, "lines": 238, "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": 7646, "bytes_utf8": 7646, "lines": 238, "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": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14289, "cached_input_tokens": 12032, "output_tokens": 173, "reasoning_output_tokens": 88}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be099d95d59e7f9d9623942fca70f6cbdc939900 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_028af02a750d40c1", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12032, + "output_tokens": 173, + "total_tokens": 14462, + "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": 25673.99, + "sql_execution_elapsed_ms_total": 2.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d69889598aab432e8d3a1ca1cb0c599765ba298a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:07.735809+00:00", + "ended_at": "2026-05-19T16:04:11.085416+00:00", + "elapsed_ms": 3349.58, + "returncode": 1, + "prompt_metrics": { + "chars": 7646, + "bytes_utf8": 7646, + "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_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e47c20ac89ce28707faa7b9d64600ea5597b7e79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:12.087163+00:00", + "ended_at": "2026-05-19T16:04:34.411620+00:00", + "elapsed_ms": 22324.41, + "prompt_metrics": { + "chars": 7646, + "bytes_utf8": 7646, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 643, + "bytes_utf8": 643, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 295, + "bytes_utf8": 295, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14289, + "cached_input_tokens": 12032, + "output_tokens": 173, + "reasoning_output_tokens": 88 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee3d035ab9ab697b9be17f541d2d1c69c38a7581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee3d035ab9ab697b9be17f541d2d1c69c38a7581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..378ff8e4bc093007376a295e2361eb5499548bf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-f0e2-78e1-8f2a-baf079931529"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbcd9f6a90cad91d2ed5cb5566dbc83f405a15e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-f0e2-78e1-8f2a-baf079931529"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4fea06ac972d9dc1722714e5b8ea37d95144fe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-01c1-7383-a22a-6425721e8b34"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"gender\\\",\\n COUNT(*) AS support\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY support ASC, \\\"gender\\\"\\nLIMIT 10;\",\"notes\":\"Uses the planned Low-Support Group Count template with group_col bound to gender and top_k=10.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14289,"cached_input_tokens":12032,"output_tokens":173,"reasoning_output_tokens":88}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c137d23ff1be85aa5bbca02432741e51f290f6e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"gender\",\n COUNT(*) AS support\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY support ASC, \"gender\"\nLIMIT 10;","notes":"Uses the planned Low-Support Group Count template with group_col bound to gender and top_k=10."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4712d0bad0c8527e3177e50db31617494c39c6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:42.028985+00:00", + "ended_at": "2026-05-19T15:57:45.318051+00:00", + "elapsed_ms": 3289.03, + "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_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d604be61427386f21682da87281b5fa26dd30a0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:46.320064+00:00", + "ended_at": "2026-05-19T15:57:49.583216+00:00", + "elapsed_ms": 3263.11, + "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_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..36a477f6fb0e6193494c4ec7bea0d801e76ef528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..36a477f6fb0e6193494c4ec7bea0d801e76ef528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a50a1d9f22f530c9c21c8b1a1100b12937c2442d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-0e29-7362-8055-716be10ec868"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87f3c11309f439f4acf5fa2655387da2f51612ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-0e29-7362-8055-716be10ec868"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8eb946fb8fc1bbcce80d494cd13f18c9acb6fad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-1ed3-7981-b588-ed294fbeeb96"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a3ae9426b587b8d98578878e028501bcf43e5eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-1ed3-7981-b588-ed294fbeeb96"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..192ffe53c25f9f636f498f0d8b81e5ef3b667a5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "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": 7584, "bytes_utf8": 7584, "lines": 238, "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": 546, "bytes_utf8": 546, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14266, "cached_input_tokens": 13696, "output_tokens": 398, "reasoning_output_tokens": 244}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..065e4367092df4350320b9c60e26a672e7178922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_03cbd3b43bfb5aca", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 13696, + "output_tokens": 398, + "total_tokens": 14664, + "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": 13029.05, + "sql_execution_elapsed_ms_total": 3.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6bbecfbe4975a4d166f692b577ad1966e949ff81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:27.456735+00:00", + "ended_at": "2026-05-19T16:02:30.742329+00:00", + "elapsed_ms": 3285.56, + "returncode": 1, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "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_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8db79763f15293d243618a078bdaa47e8c9fe1f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:31.744129+00:00", + "ended_at": "2026-05-19T16:02:41.487653+00:00", + "elapsed_ms": 9743.49, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 902, + "bytes_utf8": 902, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 546, + "bytes_utf8": 546, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14266, + "cached_input_tokens": 13696, + "output_tokens": 398, + "reasoning_output_tokens": 244 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af4c3143c51af7a09e4423555c853c54674d18a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af4c3143c51af7a09e4423555c853c54674d18a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6345f11259404776112c460eb61eaad6f62ed776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-692b-7ae1-a440-7208c977cb99"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..62ccdc948c67bdea890c4c8683001dced8852043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-692b-7ae1-a440-7208c977cb99"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..57be7af01c1d5a657cdf6746e79a8773953ed1dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-79ce-75c3-813c-78cbe5333716"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN NULLIF(TRIM(\\\"age\\\"), '') IS NOT NULL AND CAST(\\\"age\\\" AS REAL) <= 61.0 THEN 1 WHEN NULLIF(TRIM(\\\"age\\\"), '') IS NOT NULL THEN 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"age\\\" and measure_threshold fixed at 61.0. Because \\\"age\\\" is stored as TEXT in the schema snapshot, the query casts it to REAL and ignores blank values so the empirical CDF is computed on non-missing ages only.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14266,"cached_input_tokens":13696,"output_tokens":398,"reasoning_output_tokens":244}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..19800f7336a668a2ec6b4d73e50e97196ebf1f83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN NULLIF(TRIM(\"age\"), '') IS NOT NULL AND CAST(\"age\" AS REAL) <= 61.0 THEN 1 WHEN NULLIF(TRIM(\"age\"), '') IS NOT NULL THEN 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"age\" and measure_threshold fixed at 61.0. Because \"age\" is stored as TEXT in the schema snapshot, the query casts it to REAL and ignores blank values so the empirical CDF is computed on non-missing ages only."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c5e2a599e770f4346dd73591717c298d83551b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7567, "bytes_utf8": 7567, "lines": 238, "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": 275, "bytes_utf8": 275, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14251, "cached_input_tokens": 12032, "output_tokens": 209, "reasoning_output_tokens": 131}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..932434d5b8d6adf8232d74ea441b481a1b1a8767 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_045107c486867c6e", + "api_calls": 0, + "input_tokens": 14251, + "cached_input_tokens": 12032, + "output_tokens": 209, + "total_tokens": 14460, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13059.69, + "sql_execution_elapsed_ms_total": 4.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a2e0aa1d9ba1f142f35d52282ab752ed7b2096e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:04.353407+00:00", + "ended_at": "2026-05-19T15:33:17.413131+00:00", + "elapsed_ms": 13059.69, + "prompt_metrics": { + "chars": 7567, + "bytes_utf8": 7567, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 966, + "bytes_utf8": 966, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 275, + "bytes_utf8": 275, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14251, + "cached_input_tokens": 12032, + "output_tokens": 209, + "reasoning_output_tokens": 131 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f06e93a6d6617c1edbea70d4631bb7365b54b84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=gender.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "gender", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eaeb4454ae71ed14712141dfbf05f6c7f4c17628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-81e5-7d22-8749-30e48992bbe9"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14886. Please try again in 446ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"gender\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"gender\\\" on the single table \\\"m7\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14251,"cached_input_tokens":12032,"output_tokens":209,"reasoning_output_tokens":131}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc94a4c29b2a0939afe9da14792b34b003372bcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"gender\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"gender\" on the single table \"m7\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb1fe63488cfab821d6255d40f0b90c210687d4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7927, "bytes_utf8": 7927, "lines": 243, "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": 428, "bytes_utf8": 428, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14344, "cached_input_tokens": 13696, "output_tokens": 382, "reasoning_output_tokens": 268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34abb299866761e636913c25aa2d6990ac908b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0687a47cc2d15b75", + "api_calls": 0, + "input_tokens": 14344, + "cached_input_tokens": 13696, + "output_tokens": 382, + "total_tokens": 14726, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9742.79, + "sql_execution_elapsed_ms_total": 1.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..429c0a950999e80a513e0120ef446e70d3f59c88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:58.404848+00:00", + "ended_at": "2026-05-19T16:00:08.147677+00:00", + "elapsed_ms": 9742.79, + "prompt_metrics": { + "chars": 7927, + "bytes_utf8": 7927, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 779, + "bytes_utf8": 779, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 428, + "bytes_utf8": 428, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14344, + "cached_input_tokens": 13696, + "output_tokens": 382, + "reasoning_output_tokens": 268 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..faf87a0eab9d8d833af7b2e8398b124e72cde261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, condition_col=heart_disease.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "heart_disease", + "condition_col": "heart_disease", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7553399549d8095d62a17fe589c0ca58144dda87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-22eb-76e1-91fc-0e2da27077a4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"heart_disease\\\",\\n AVG(CASE WHEN \\\"heart_disease\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the requested Grouped Condition Rate template with both group_col and condition_col bound to \\\"heart_disease\\\". The comparison uses '1' because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14344,"cached_input_tokens":13696,"output_tokens":382,"reasoning_output_tokens":268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0054bbf0d11a85d07a406dd1ad1d29e371c82a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"heart_disease\",\n AVG(CASE WHEN \"heart_disease\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY condition_rate DESC;","notes":"Uses the requested Grouped Condition Rate template with both group_col and condition_col bound to \"heart_disease\". The comparison uses '1' because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4535cd5f82d72dcf93641c392f250492c59ec00b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8094, "bytes_utf8": 8094, "lines": 242, "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": 810, "bytes_utf8": 810, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 727, "reasoning_output_tokens": 498}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f5286cf470e0715bab02ba157a15ddcc36883e8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_071c09858e38088b", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 727, + "total_tokens": 15131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15291.02, + "sql_execution_elapsed_ms_total": 10.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..79851f37691663c84d629271b2ecf6ad0a032c09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:10.447117+00:00", + "ended_at": "2026-05-19T15:37:25.738167+00:00", + "elapsed_ms": 15291.02, + "prompt_metrics": { + "chars": 8094, + "bytes_utf8": 8094, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1207, + "bytes_utf8": 1207, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 810, + "bytes_utf8": 810, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 727, + "reasoning_output_tokens": 498 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebe4b5775881507ffb9065a5410573cdd679c429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "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": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c8cdee8a08a53c5e353eff747a4dae616e79eba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-435c-70a1-9f0a-66546e71f081"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"smoking_status\\\",\\n \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"smoking_status\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n AND NULLIF(\\\"smoking_status\\\", '') IS NOT NULL\\nGROUP BY \\\"smoking_status\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"smoking_status\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Cast the TEXT measure to REAL and filtered blank values to keep the aggregation SQLite-safe.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14404,"cached_input_tokens":12032,"output_tokens":727,"reasoning_output_tokens":498}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d42daaaf8887dfc6a868a29ab32e6ae79445dee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"smoking_status\",\n \"bmi\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL))) OVER (PARTITION BY \"smoking_status\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\n AND NULLIF(\"smoking_status\", '') IS NOT NULL\nGROUP BY \"smoking_status\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Applied the requested template with group_col=\"smoking_status\", item_col=\"bmi\", and measure_col=\"avg_glucose_level\". Cast the TEXT measure to REAL and filtered blank values to keep the aggregation SQLite-safe."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c97f95910a6eae2b7194038c5fcad11799479b08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7849, "bytes_utf8": 7849, "lines": 238, "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": 667, "bytes_utf8": 667, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14336, "cached_input_tokens": 13696, "output_tokens": 542, "reasoning_output_tokens": 361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a97922ca5e88b9aef8895ef32a28c53f51661337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_083637a4584ca0a1", + "api_calls": 0, + "input_tokens": 14336, + "cached_input_tokens": 13696, + "output_tokens": 542, + "total_tokens": 14878, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16175.5, + "sql_execution_elapsed_ms_total": 15.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b62a18eca232202889761094ef4e4e055eedf72a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:02.627423+00:00", + "ended_at": "2026-05-19T15:45:18.802960+00:00", + "elapsed_ms": 16175.5, + "prompt_metrics": { + "chars": 7849, + "bytes_utf8": 7849, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1044, + "bytes_utf8": 1044, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 667, + "bytes_utf8": 667, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14336, + "cached_input_tokens": 13696, + "output_tokens": 542, + "reasoning_output_tokens": 361 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3cbc06ee702798c59fe6b9cd51136ca07815164 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9359208e678a5e319f7fe4934ed1213752019517 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-77b0-7862-b554-73c86e68a9e9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"avg_glucose_level\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n)\\nSELECT \\\"avg_glucose_level\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"avg_glucose_level\\\" DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to avg_glucose_level. Casts the TEXT field to REAL for correct numeric ranking and excludes blank values before applying NTILE(10).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14336,"cached_input_tokens":13696,"output_tokens":542,"reasoning_output_tokens":361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2830a1181147c1fde0b2b058f03fba9d8bf4c999 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"avg_glucose_level\" AS REAL) AS \"avg_glucose_level\",\n NTILE(10) OVER (ORDER BY CAST(\"avg_glucose_level\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m7\"\n WHERE \"avg_glucose_level\" IS NOT NULL\n AND \"avg_glucose_level\" <> ''\n)\nSELECT \"avg_glucose_level\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"avg_glucose_level\" DESC;","notes":"Uses the planned Quantile Tail Slice template with measure_col bound to avg_glucose_level. Casts the TEXT field to REAL for correct numeric ranking and excludes blank values before applying NTILE(10)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c470885365529aab32ebad638a7849aec7fc3160 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:30.950711+00:00", + "ended_at": "2026-05-19T16:05:34.665067+00:00", + "elapsed_ms": 3714.33, + "returncode": 1, + "prompt_metrics": { + "chars": 7657, + "bytes_utf8": 7657, + "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_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e1687da779711672f959bb2d738aa79fd5ae3b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:35.667159+00:00", + "ended_at": "2026-05-19T16:05:38.754249+00:00", + "elapsed_ms": 3087.05, + "returncode": 1, + "prompt_metrics": { + "chars": 7657, + "bytes_utf8": 7657, + "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_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5de40a79891f47b034aefbb0a27963a88e7d48e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ever_married.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ever_married", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5de40a79891f47b034aefbb0a27963a88e7d48e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ever_married.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ever_married", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..74979f9611bf9526dd2c58af7e4c4f1f249ab7d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-35c3-74e1-8b25-e375e71eaeb3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd55e1ee0f1640de2266f55885798bd768abe9c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4835-74e0-94b6-98d5ead9035e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a7239e4f02131a9778ebdf53be5bc9e2e7eb9a8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8216, "bytes_utf8": 8216, "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": 651, "bytes_utf8": 651, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 12032, "output_tokens": 460, "reasoning_output_tokens": 291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f8287fc8bd3cc3823f6be76b1caee430c48ebb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_090e985d0f15e967", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 12032, + "output_tokens": 460, + "total_tokens": 14873, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9934.01, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e9aeff7bd9cdae725a1091dcaae632e1407782ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:38.999158+00:00", + "ended_at": "2026-05-19T15:48:48.933193+00:00", + "elapsed_ms": 9934.01, + "prompt_metrics": { + "chars": 8216, + "bytes_utf8": 8216, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1022, + "bytes_utf8": 1022, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 651, + "bytes_utf8": 651, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14413, + "cached_input_tokens": 12032, + "output_tokens": 460, + "reasoning_output_tokens": 291 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cee6b1775390715d744f3424b602d588e0bc5fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbad300eec2001216d9ee48e4e16896388d24edf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-c4eb-7ed2-8ca0-de61abc9d4d1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"Residence_type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Residence_type\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"Residence_type\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for aggregation and used NULLIF to ignore empty strings if present.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14413,"cached_input_tokens":12032,"output_tokens":460,"reasoning_output_tokens":291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16b786b2af5a2c348b70e143e4e058141be502c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Residence_type\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"Residence_type\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Residence_type\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the planned template with group_col=\"Residence_type\" and measure_col=\"age\". Cast \"age\" from TEXT to REAL for aggregation and used NULLIF to ignore empty strings if present."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a47bd959be19ee75675964423588c182ae391386 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:36.802355+00:00", + "ended_at": "2026-05-19T16:08:39.732101+00:00", + "elapsed_ms": 2929.72, + "returncode": 1, + "prompt_metrics": { + "chars": 7775, + "bytes_utf8": 7775, + "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_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eb3adad3567e8665a682afa7500e0c4b289f66c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:40.733733+00:00", + "ended_at": "2026-05-19T16:08:43.631361+00:00", + "elapsed_ms": 2897.59, + "returncode": 1, + "prompt_metrics": { + "chars": 7775, + "bytes_utf8": 7775, + "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_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2175d1f37638d9547220972aa41e5c40f4c325cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "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": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2175d1f37638d9547220972aa41e5c40f4c325cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "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": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..061b665ec48753580c977de318b74d8a87e12d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0bd7-7762-9a25-1c230c17d966"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b02c3515f905c6c2e3c813459ca591498191945 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0bd7-7762-9a25-1c230c17d966"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cc464c5ecaa120027b353406e7f886fbbaacb1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1b1d-7d61-8474-e04bae4249f3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9910f18a999951b48336d494086c3b54fd074b92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1b1d-7d61-8474-e04bae4249f3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3978aad0988d1cb3e9ed4a6a29d75cbcc946857c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7659, "bytes_utf8": 7659, "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": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 12032, "output_tokens": 283, "reasoning_output_tokens": 178}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50b505ebb4ecc81d0e29384d0766bee82a4652d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0c8f6b8b31c734d2", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 283, + "total_tokens": 14560, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33271.42, + "sql_execution_elapsed_ms_total": 5.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d4f8da788ef850ca263c0195f4ba63b8df84b49e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:58.489837+00:00", + "ended_at": "2026-05-19T15:30:31.761292+00:00", + "elapsed_ms": 33271.42, + "prompt_metrics": { + "chars": 7659, + "bytes_utf8": 7659, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2762, + "bytes_utf8": 2762, + "lines": 10, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 406, + "bytes_utf8": 406, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 283, + "reasoning_output_tokens": 178 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..495df63e791aa8c728f28c8e6dd1498402678e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f426c13dd8480789fcff24f63c5abe9010384a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,10 @@ +{"type":"thread.started","thread_id":"019e40db-abe9-7171-ad15-daf4929675d3"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14912. Please try again in 447ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14912. Please try again in 447ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14912. Please try again in 447ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988840, Requested 14912. Please try again in 112ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989387, Requested 14912. Please try again in 128ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1991826, Requested 14912. Please try again in 202ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"Residence_type\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL and treat empty strings as NULL for SQLite-safe numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":12032,"output_tokens":283,"reasoning_output_tokens":178}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfc3ee361e1002c2b43f5e54c521c5648392e6a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Residence_type\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with group_col=\"Residence_type\" and measure_col=\"age\". Cast \"age\" from TEXT to REAL and treat empty strings as NULL for SQLite-safe numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33476966c933a613b050e345ce4ac21fa2205002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7586, "bytes_utf8": 7586, "lines": 238, "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": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14266, "cached_input_tokens": 12032, "output_tokens": 328, "reasoning_output_tokens": 225}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..24a9e3bc0c9b17f788e6b3ec60ba9bd9de16bfb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0e9e72fd7ff53009", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 12032, + "output_tokens": 328, + "total_tokens": 14594, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8446.43, + "sql_execution_elapsed_ms_total": 1.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bd4d1f11f14c40d835a2ff08007e1fef08b4d1c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:04.891850+00:00", + "ended_at": "2026-05-19T16:03:13.338315+00:00", + "elapsed_ms": 8446.43, + "prompt_metrics": { + "chars": 7586, + "bytes_utf8": 7586, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 701, + "bytes_utf8": 701, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 353, + "bytes_utf8": 353, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14266, + "cached_input_tokens": 12032, + "output_tokens": 328, + "reasoning_output_tokens": 225 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..999026bacd059ddc332cfe743bc23f4944e2a3b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc0d8a4cd0c95b3e422a398e96efd08c915b6320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-fb51-7653-bcc6-419dc352d5d8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf.\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Used the requested Threshold Rarity CDF template on measure_col \\\"id\\\" and cast \\\"id\\\" to REAL because the SQLite schema stores it as TEXT while the threshold is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14266,"cached_input_tokens":12032,"output_tokens":328,"reasoning_output_tokens":225}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..08b5de9becd90dd7ec0f627a8d80200f17861e04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf.\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";","notes":"Used the requested Threshold Rarity CDF template on measure_col \"id\" and cast \"id\" to REAL because the SQLite schema stores it as TEXT while the threshold is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1dae450f4594c6a70eedc2151a66bfabfd063be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:55.832471+00:00", + "ended_at": "2026-05-19T16:05:59.124680+00:00", + "elapsed_ms": 3292.18, + "returncode": 1, + "prompt_metrics": { + "chars": 7659, + "bytes_utf8": 7659, + "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_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..31901117723715412ef4febf350d860f53972f4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:00.126475+00:00", + "ended_at": "2026-05-19T16:06:03.604348+00:00", + "elapsed_ms": 3477.83, + "returncode": 1, + "prompt_metrics": { + "chars": 7659, + "bytes_utf8": 7659, + "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_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21210ac2b6f3bf3ef33ed1b2b5c4320cd2071bf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Residence_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..21210ac2b6f3bf3ef33ed1b2b5c4320cd2071bf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Residence_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62209215b1ca53b1afecff499338b6c72ab81363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9706-71b2-a777-6b8bd9469f73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82cbbb8b2227df2def77daf40dc113673bf102f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9706-71b2-a777-6b8bd9469f73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e1625bc67d6f55b370556cf76899f61cfe667dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a80b-71d3-808f-c2c57805015e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d51a61ea43806f3be0ef886ba42033bc598dd20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a80b-71d3-808f-c2c57805015e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b09fb81f3b63761c40eed9af706644d58ca1088f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7825, "bytes_utf8": 7825, "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": 1825, "bytes_utf8": 1825, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14314, "cached_input_tokens": 13696, "output_tokens": 1795, "reasoning_output_tokens": 1181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c4d9d30ecadd1e876d292dbe4151aca71d84f9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_18f0325df5c00bc7", + "api_calls": 0, + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 1795, + "total_tokens": 16109, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26071.4, + "sql_execution_elapsed_ms_total": 43.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..863815477212f595aada2690415583ad64687e0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:27.638367+00:00", + "ended_at": "2026-05-19T15:54:53.709804+00:00", + "elapsed_ms": 26071.4, + "prompt_metrics": { + "chars": 7825, + "bytes_utf8": 7825, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2438, + "bytes_utf8": 2438, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1825, + "bytes_utf8": 1825, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 1795, + "reasoning_output_tokens": 1181 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63f557d4df491cc23036e43317b3b9664bc34eb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..10fa8a933334d10c065cb46df05c0a805b6919af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-16c7-7590-a4d0-4e5dea7ec6ad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"stroke\\\" AS \\\"group_col\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> \\\"\\\"\\n),\\n\\\"__ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) AS \\\"lower_pos\\\",\\n CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) > CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_pos\\\"\\n FROM \\\"__ranked\\\"\\n GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"stroke\\\",\\n CASE\\n WHEN p.\\\"lower_pos\\\" = p.\\\"upper_pos\\\" THEN\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_pos\\\" THEN r.\\\"measure_col\\\" END)\\n ELSE\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_pos\\\" THEN r.\\\"measure_col\\\" END) +\\n (p.\\\"target_pos\\\" - p.\\\"lower_pos\\\") * (\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_pos\\\" THEN r.\\\"measure_col\\\" END) -\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_pos\\\" THEN r.\\\"measure_col\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__params\\\" AS p\\nJOIN \\\"__ranked\\\" AS r\\n ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY\\n p.\\\"group_col\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_pos\\\",\\n p.\\\"upper_pos\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates the planned grouped 95th-percentile point in SQLite using window functions and linear interpolation; casts \\\"bmi\\\" from TEXT to REAL and excludes blank BMI values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14314,"cached_input_tokens":13696,"output_tokens":1795,"reasoning_output_tokens":1181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92bc079009d2663603850fdda2b0b14ae14f0bf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n \"stroke\" AS \"group_col\",\n CAST(\"bmi\" AS REAL) AS \"measure_col\"\n FROM \"m7\"\n WHERE \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> \"\"\n),\n\"__ranked\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure_col\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_col\") AS \"n\"\n FROM \"__base\"\n),\n\"__params\" AS (\n SELECT\n \"group_col\",\n (1.0 + 0.95 * (MAX(\"n\") - 1)) AS \"target_pos\",\n CAST((1.0 + 0.95 * (MAX(\"n\") - 1)) AS INTEGER) AS \"lower_pos\",\n CAST((1.0 + 0.95 * (MAX(\"n\") - 1)) AS INTEGER) + CASE\n WHEN (1.0 + 0.95 * (MAX(\"n\") - 1)) > CAST((1.0 + 0.95 * (MAX(\"n\") - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_pos\"\n FROM \"__ranked\"\n GROUP BY \"group_col\"\n)\nSELECT\n p.\"group_col\" AS \"stroke\",\n CASE\n WHEN p.\"lower_pos\" = p.\"upper_pos\" THEN\n MAX(CASE WHEN r.\"rn\" = p.\"lower_pos\" THEN r.\"measure_col\" END)\n ELSE\n MAX(CASE WHEN r.\"rn\" = p.\"lower_pos\" THEN r.\"measure_col\" END) +\n (p.\"target_pos\" - p.\"lower_pos\") * (\n MAX(CASE WHEN r.\"rn\" = p.\"upper_pos\" THEN r.\"measure_col\" END) -\n MAX(CASE WHEN r.\"rn\" = p.\"lower_pos\" THEN r.\"measure_col\" END)\n )\n END AS \"percentile_measure\"\nFROM \"__params\" AS p\nJOIN \"__ranked\" AS r\n ON r.\"group_col\" = p.\"group_col\"\nGROUP BY\n p.\"group_col\",\n p.\"target_pos\",\n p.\"lower_pos\",\n p.\"upper_pos\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates the planned grouped 95th-percentile point in SQLite using window functions and linear interpolation; casts \"bmi\" from TEXT to REAL and excludes blank BMI values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..badc3794d905dbff95a65bdfe9751d6731b6e60d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:03.905340+00:00", + "ended_at": "2026-05-19T16:08:06.844284+00:00", + "elapsed_ms": 2938.92, + "returncode": 1, + "prompt_metrics": { + "chars": 7731, + "bytes_utf8": 7731, + "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_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..19d55581b4f66d95dcf5b2a7b0c823b95905c3a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:07.846743+00:00", + "ended_at": "2026-05-19T16:08:10.963509+00:00", + "elapsed_ms": 3116.72, + "returncode": 1, + "prompt_metrics": { + "chars": 7731, + "bytes_utf8": 7731, + "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_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f6140d39937b4823c296b449a127949977d84f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "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_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f6140d39937b4823c296b449a127949977d84f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "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_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82edfb5a2117516bdb83047b3eb226ee37d5e23f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8b3f-7e00-bc6d-c65085b6ba40"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a126425da41740bd5ac3d82451cf961bee3146f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8b3f-7e00-bc6d-c65085b6ba40"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..02471bf9d6d5a9c02c01d64fbb3ae273e861b94a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9aa7-7c62-b914-a72893b6db9b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3c6d9ca365de8791302706dd9943ec741742131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9aa7-7c62-b914-a72893b6db9b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8d065510bebc8e7aea96e4615cbdeb987cfb65a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7937, "bytes_utf8": 7937, "lines": 243, "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": 523, "bytes_utf8": 523, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14343, "cached_input_tokens": 12032, "output_tokens": 395, "reasoning_output_tokens": 258}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..810dba39844f8556b9021d4b5fc6e54902eefc4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1a38edcf28304fc1", + "api_calls": 0, + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 395, + "total_tokens": 14738, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10677.29, + "sql_execution_elapsed_ms_total": 1.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c6f8b323872c16e4146fb3968e680c5b76497b40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:52.617280+00:00", + "ended_at": "2026-05-19T16:01:03.294603+00:00", + "elapsed_ms": 10677.29, + "prompt_metrics": { + "chars": 7937, + "bytes_utf8": 7937, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 882, + "bytes_utf8": 882, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 523, + "bytes_utf8": 523, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 395, + "reasoning_output_tokens": 258 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..80d6a98ca4cb457e0b7e9f99380148f7c1904184 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Residence_type, condition_col=Residence_type.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Residence_type", + "condition_col": "Residence_type", + "condition_value": "Rural", + "positive_value": "Urban", + "negative_value": "Rural", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26f312a27db1e2d7d61c3cb56d7f335c73ec80b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-f6a9-70d2-aee4-104c27c1ff69"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Residence_type\\\",\\n AVG(CASE WHEN \\\"Residence_type\\\" = 'Rural' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"Residence_type\\\" and condition_value='Rural'. This yields a within-group proportion that is degenerate by construction: 1.0 for Rural and 0.0 for non-Rural groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14343,"cached_input_tokens":12032,"output_tokens":395,"reasoning_output_tokens":258}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19de52ab1d0562084ae10a21cd92f723ad135b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Residence_type\",\n AVG(CASE WHEN \"Residence_type\" = 'Rural' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col and condition_col both bound to \"Residence_type\" and condition_value='Rural'. This yields a within-group proportion that is degenerate by construction: 1.0 for Rural and 0.0 for non-Rural groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1436452072359eccaf7e4f3a7b3280cf1bd651ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:57.447710+00:00", + "ended_at": "2026-05-19T15:58:00.654858+00:00", + "elapsed_ms": 3207.13, + "returncode": 1, + "prompt_metrics": { + "chars": 7831, + "bytes_utf8": 7831, + "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_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd2920478d6097ac0c4352c6bf9b1e22adbbdc77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:01.656867+00:00", + "ended_at": "2026-05-19T15:58:06.169113+00:00", + "elapsed_ms": 4512.2, + "returncode": 1, + "prompt_metrics": { + "chars": 7831, + "bytes_utf8": 7831, + "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_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4066e93c33f0727db754becad09bffe78b052b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "work_type", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4066e93c33f0727db754becad09bffe78b052b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "work_type", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..edc976cc71851ac4ab68be7d7f541dfe26c3b0cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-4a5f-7702-a536-31f4be4b91b5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1bc29af628ee36fe5639714183fe336c64e04c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-4a5f-7702-a536-31f4be4b91b5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc071ae556a522a16b7285e012cc72a801b76d3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-5afc-7ed3-b078-7431730181ec"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f7d6e3c75e9e016cb79ebf04833fdc51bbc71b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-5afc-7ed3-b078-7431730181ec"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a632c592cc5e22831993e5055b847da85c47729c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "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": 563, "bytes_utf8": 563, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14331, "cached_input_tokens": 13696, "output_tokens": 587, "reasoning_output_tokens": 421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee3d7c3cb8e3f700190e96f7dbf40981801724c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1a705a0dad935c5c", + "api_calls": 0, + "input_tokens": 14331, + "cached_input_tokens": 13696, + "output_tokens": 587, + "total_tokens": 14918, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13089.73, + "sql_execution_elapsed_ms_total": 17.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4d70cf9ce009a04a86d8163172e1ba01632fb050 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:15.877005+00:00", + "ended_at": "2026-05-19T15:44:28.966775+00:00", + "elapsed_ms": 13089.73, + "prompt_metrics": { + "chars": 7818, + "bytes_utf8": 7818, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 937, + "bytes_utf8": 937, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 563, + "bytes_utf8": 563, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14331, + "cached_input_tokens": 13696, + "output_tokens": 587, + "reasoning_output_tokens": 421 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e6786f59fd263cf74ed5055d542597901dbc3ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b61db0254921325290a01b9b5b97e4a44b00582 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-c10f-7fc0-aeda-1fd367767689"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND \\\"bmi\\\" <> ''\\n)\\nSELECT \\\"bmi\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"bmi\\\" AS REAL) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template on \\\"bmi\\\". Cast \\\"bmi\\\" to REAL for correct numeric ordering because the column is stored as TEXT, and excluded blank values to avoid treating missing BMI as 0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14331,"cached_input_tokens":13696,"output_tokens":587,"reasoning_output_tokens":421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89c85328b599d9b13f29b36b936e78a13c2ace66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"bmi\",\n NTILE(10) OVER (ORDER BY CAST(\"bmi\" AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE \"bmi\" IS NOT NULL\n AND \"bmi\" <> ''\n)\nSELECT \"bmi\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"bmi\" AS REAL) DESC;","notes":"Used the planned Quantile Tail Slice template on \"bmi\". Cast \"bmi\" to REAL for correct numeric ordering because the column is stored as TEXT, and excluded blank values to avoid treating missing BMI as 0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1a90a9a571c2a6efbb5d0351e0a2c955b8c50ea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7833, "bytes_utf8": 7833, "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": 964, "bytes_utf8": 964, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14318, "cached_input_tokens": 13696, "output_tokens": 2469, "reasoning_output_tokens": 2167}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9ba2b2c7da3f089c4a5958f862489050e0f75c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1ed242aeaee7b289", + "api_calls": 0, + "input_tokens": 14318, + "cached_input_tokens": 13696, + "output_tokens": 2469, + "total_tokens": 16787, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40599.83, + "sql_execution_elapsed_ms_total": 11.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..740f4d450fecda840b2eaeabd75a23b58909763b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:01.413414+00:00", + "ended_at": "2026-05-19T15:57:42.013279+00:00", + "elapsed_ms": 40599.83, + "prompt_metrics": { + "chars": 7833, + "bytes_utf8": 7833, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1408, + "bytes_utf8": 1408, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 964, + "bytes_utf8": 964, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14318, + "cached_input_tokens": 13696, + "output_tokens": 2469, + "reasoning_output_tokens": 2167 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6b0ded603fa9a2a4700e6ddfb37c6955aa47455 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..484039717edd3c5b3ebf80f38731fc5a820f2a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-6f7c-7630-9bf0-d6101859a977"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"ever_married\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ever_married\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ever_married\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n)\\nSELECT\\n \\\"ever_married\\\",\\n \\\"bmi_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CASE\\n WHEN (9 * \\\"cnt\\\") % 10 = 0 THEN CAST((9 * \\\"cnt\\\") / 10 AS INTEGER)\\n ELSE CAST((9 * \\\"cnt\\\") / 10 AS INTEGER) + 1\\nEND\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function-based discrete 90th percentile per \\\"ever_married\\\" group: the BMI value at row number ceil(0.9 * group_size), after excluding empty BMI strings and casting \\\"bmi\\\" from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14318,"cached_input_tokens":13696,"output_tokens":2469,"reasoning_output_tokens":2167}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99fbeb6b7344d76c857b12465361c2b8ef2597ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"ever_married\",\n CAST(\"bmi\" AS REAL) AS \"bmi_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ever_married\"\n ORDER BY CAST(\"bmi\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"ever_married\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> ''\n)\nSELECT\n \"ever_married\",\n \"bmi_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CASE\n WHEN (9 * \"cnt\") % 10 = 0 THEN CAST((9 * \"cnt\") / 10 AS INTEGER)\n ELSE CAST((9 * \"cnt\") / 10 AS INTEGER) + 1\nEND\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function-based discrete 90th percentile per \"ever_married\" group: the BMI value at row number ceil(0.9 * group_size), after excluding empty BMI strings and casting \"bmi\" from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..00abbcd4d8e57ad7c653a28072018547e8ee20df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:18.090565+00:00", + "ended_at": "2026-05-19T16:06:21.257055+00:00", + "elapsed_ms": 3166.46, + "returncode": 1, + "prompt_metrics": { + "chars": 7663, + "bytes_utf8": 7663, + "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_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..058b74070397527da54003a87163e79922852eaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:22.258734+00:00", + "ended_at": "2026-05-19T16:06:25.382054+00:00", + "elapsed_ms": 3123.28, + "returncode": 1, + "prompt_metrics": { + "chars": 7663, + "bytes_utf8": 7663, + "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_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6f14180f9a6587311ddef691cdc6943b3275834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=smoking_status.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "smoking_status", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6f14180f9a6587311ddef691cdc6943b3275834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=smoking_status.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "smoking_status", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e0481530599c3e294f5942f7c35f47b286b7b10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-edff-7f73-8ddf-1750444770bb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b48293d83a7fe7c88f2767540289696d3e684ee0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-edff-7f73-8ddf-1750444770bb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6079919567ec2be1cf17d90074122277eaccb92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-fe3e-7711-9386-eebfa415b6a7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1db5fce6ebe7ad16bb676db760debd74bb6a90e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-fe3e-7711-9386-eebfa415b6a7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d0056350777fc1dd64a6a0554c17b1b917073cfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8092, "bytes_utf8": 8092, "lines": 242, "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": 794, "bytes_utf8": 794, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 738, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..500d070b0c6a488e59cd29ea839080b3b4810382 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2708c1038ddc5697", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 738, + "total_tokens": 15142, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17055.55, + "sql_execution_elapsed_ms_total": 12.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ffc8b52100f2a66072b65d02f7b04670400ea069 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:14.009662+00:00", + "ended_at": "2026-05-19T15:35:31.065236+00:00", + "elapsed_ms": 17055.55, + "prompt_metrics": { + "chars": 8092, + "bytes_utf8": 8092, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1193, + "bytes_utf8": 1193, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 794, + "bytes_utf8": 794, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 738, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5d7c2cee6295a362d17e1ec2876e5245d1f4a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "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": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..70ca3e0a41284b3d4ce76a189f399ef138b08f31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-7c60-7fe3-a725-6ca6318c37ad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"heart_disease\\\", \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"heart_disease\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Cast the text measure to REAL and filtered blank \\\"avg_glucose_level\\\" and \\\"bmi\\\" values for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14404,"cached_input_tokens":12032,"output_tokens":738,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6092cd3a4e0b14de961653a19380700828a2897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"heart_disease\", \"bmi\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL))) OVER (PARTITION BY \"heart_disease\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"heart_disease\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Applied the planned template with group_col=\"heart_disease\", item_col=\"bmi\", and measure_col=\"avg_glucose_level\". Cast the text measure to REAL and filtered blank \"avg_glucose_level\" and \"bmi\" values for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad015a4c7cbaddd54cdbca932611b657f4353a1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7930, "bytes_utf8": 7930, "lines": 243, "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": 424, "bytes_utf8": 424, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14341, "cached_input_tokens": 12032, "output_tokens": 220, "reasoning_output_tokens": 114}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c3abe36a0efad855a2e0681dfe5796849b857579 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_272c2f7871f2c610", + "api_calls": 0, + "input_tokens": 14341, + "cached_input_tokens": 12032, + "output_tokens": 220, + "total_tokens": 14561, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7736.28, + "sql_execution_elapsed_ms_total": 2.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..844f6464a9b03a19b74de19ccecaf33148529094 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:44.874601+00:00", + "ended_at": "2026-05-19T16:00:52.610918+00:00", + "elapsed_ms": 7736.28, + "prompt_metrics": { + "chars": 7930, + "bytes_utf8": 7930, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 771, + "bytes_utf8": 771, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 424, + "bytes_utf8": 424, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14341, + "cached_input_tokens": 12032, + "output_tokens": 220, + "reasoning_output_tokens": 114 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b733fa413caaa5292e2ff7196d7c955fe64aa95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, condition_col=Residence_type.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Residence_type", + "condition_col": "Residence_type", + "condition_value": "Urban", + "positive_value": "Urban", + "negative_value": "Rural", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f90fd3d92f13d5ad3b2dc82f3d2bda156a94c8a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-d869-7cc0-8f55-af20f8aa0859"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Residence_type\\\",\\n AVG(CASE WHEN \\\"Residence_type\\\" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template exactly as bound: grouped by Residence_type and measured the rate of Residence_type = 'Urban' within each Residence_type group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14341,"cached_input_tokens":12032,"output_tokens":220,"reasoning_output_tokens":114}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69ad578508baaf580df2578e5e0583b095372c5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Residence_type\",\n AVG(CASE WHEN \"Residence_type\" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template exactly as bound: grouped by Residence_type and measured the rate of Residence_type = 'Urban' within each Residence_type group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..551de9c4b8603702e8ef5f4b563fc078ab2af6a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8093, "bytes_utf8": 8093, "lines": 242, "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": 762, "bytes_utf8": 762, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 726, "reasoning_output_tokens": 508}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..407a34afddb4273a71f165d692890e0b9e4f705a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_285819540085b992", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 726, + "total_tokens": 15130, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13385.77, + "sql_execution_elapsed_ms_total": 9.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..23934d814d66a49d0a39af505bfec1e42783290c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:00.610067+00:00", + "ended_at": "2026-05-19T15:35:13.995875+00:00", + "elapsed_ms": 13385.77, + "prompt_metrics": { + "chars": 8093, + "bytes_utf8": 8093, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1155, + "bytes_utf8": 1155, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 762, + "bytes_utf8": 762, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 726, + "reasoning_output_tokens": 508 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..456acb6b609bc31555d88f18d7f2711d13a59047 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..858ccfb1c0dc8b20152d5eaf1f6e0aba1d83552d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-4809-7e12-b65c-d54167cd7276"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"heart_disease\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Casts the text measure to REAL and excludes blank measure/item values for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14404,"cached_input_tokens":12032,"output_tokens":726,"reasoning_output_tokens":508}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b50daee1534189c60777ce3c61ce723f39784c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"heart_disease\",\n \"bmi\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) * 100.0 /\n SUM(SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL))) OVER (PARTITION BY \"heart_disease\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"heart_disease\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Uses the planned template with group_col=\"heart_disease\", item_col=\"bmi\", and measure_col=\"avg_glucose_level\". Casts the text measure to REAL and excludes blank measure/item values for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ab4c89862cd1ce7cb11e99edf1820200e665fdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7582, "bytes_utf8": 7582, "lines": 238, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 292, "bytes_utf8": 292, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14254, "cached_input_tokens": 12032, "output_tokens": 292, "reasoning_output_tokens": 214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..caf412c5f359cbaf34aabf101770ad71935a544e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_28b6db76e266e755", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 292, + "total_tokens": 14546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24545.9, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..483e96862c4edcb8f2502301914b980ae6b1c73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:17.488190+00:00", + "ended_at": "2026-05-19T15:32:42.034125+00:00", + "elapsed_ms": 24545.9, + "prompt_metrics": { + "chars": 7582, + "bytes_utf8": 7582, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1645, + "bytes_utf8": 1645, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 292, + "bytes_utf8": 292, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 292, + "reasoning_output_tokens": 214 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5bc007604f7b525839ebf776a83dfd4b9343aec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoking_status.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "smoking_status", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c268ec42c31b63d3b6e5ba2e0f48aaa1b51d684 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40dd-cae5-7eb1-91fe-35cc929906e1"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14889. Please try again in 446ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14889. Please try again in 446ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14889. Please try again in 446ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoking_status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution by \\\"smoking_status\\\" using the provided Grouped Count by Category template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14254,"cached_input_tokens":12032,"output_tokens":292,"reasoning_output_tokens":214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a826648a93d78b8093e13a27c1beffb08c72fab8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"smoking_status\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution by \"smoking_status\" using the provided Grouped Count by Category template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6b2441d96ac1a890e9458e25369956bff416289 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7973, "bytes_utf8": 7973, "lines": 244, "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": 361, "bytes_utf8": 361, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14371, "cached_input_tokens": 13696, "output_tokens": 273, "reasoning_output_tokens": 170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..07e3a3c8662819a79c51c3688f339cda69a6a20d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2d66afe8fb598e0e", + "api_calls": 0, + "input_tokens": 14371, + "cached_input_tokens": 13696, + "output_tokens": 273, + "total_tokens": 14644, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12771.18, + "sql_execution_elapsed_ms_total": 6.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f56072efa982f5ce7788e763443b9149771fe697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:17.306108+00:00", + "ended_at": "2026-05-19T15:42:30.077320+00:00", + "elapsed_ms": 12771.18, + "prompt_metrics": { + "chars": 7973, + "bytes_utf8": 7973, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 724, + "bytes_utf8": 724, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 361, + "bytes_utf8": 361, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14371, + "cached_input_tokens": 13696, + "output_tokens": 273, + "reasoning_output_tokens": 170 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..57df575c3c7225b1a373ce36e09a0d4f2eaf4517 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=stroke.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "work_type", + "group_col_2": "stroke", + "predicate_col": "heart_disease", + "predicate_op": "=", + "predicate_value": "0", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9a2f753fec7340e9c970078500c10ccc6464274 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-f1fe-7b42-86af-fcbce51e143a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"work_type\\\", \\\"stroke\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE \\\"heart_disease\\\" = '0'\\nGROUP BY \\\"work_type\\\", \\\"stroke\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with work_type and stroke, filtered to heart_disease = '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14371,"cached_input_tokens":13696,"output_tokens":273,"reasoning_output_tokens":170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97828beff45dbedb1c141d5d07bc2112769924f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"work_type\", \"stroke\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nWHERE \"heart_disease\" = '0'\nGROUP BY \"work_type\", \"stroke\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided filtered two-dimensional group count template with work_type and stroke, filtered to heart_disease = '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..383d1b812a003dd9f752b93f45ea3bf2a376dd64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7737, "bytes_utf8": 7737, "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": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14289, "cached_input_tokens": 13696, "output_tokens": 435, "reasoning_output_tokens": 316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fb5bd52607bc0724a5d54182b876463062a69fd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2d787e84f261b4a6", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 13696, + "output_tokens": 435, + "total_tokens": 14724, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10588.76, + "sql_execution_elapsed_ms_total": 18.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d41b6e49a4792ae8d8ec2b2fe3c99490a1f4ca5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:40.287548+00:00", + "ended_at": "2026-05-19T16:06:50.876338+00:00", + "elapsed_ms": 10588.76, + "prompt_metrics": { + "chars": 7737, + "bytes_utf8": 7737, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 819, + "bytes_utf8": 819, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 452, + "bytes_utf8": 452, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14289, + "cached_input_tokens": 13696, + "output_tokens": 435, + "reasoning_output_tokens": 316 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdb5b9cf478c81f9c5442d5cfb3dcb3906de49dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e5bca3cdbf1fd5637d64c3b8c9c56cc3ce4c6d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-44a6-74c1-bf5e-9d6b681799bc"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"work_type\\\",\\n AVG(CAST(\\\"id\\\" AS REAL)) OVER (PARTITION BY \\\"work_type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m7\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"work_type\\\" and measure_col=\\\"id\\\". CAST was added because \\\"id\\\" is stored as TEXT in the schema, and SQLite AVG works correctly on numeric values after coercion.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14289,"cached_input_tokens":13696,"output_tokens":435,"reasoning_output_tokens":316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..627f14f58d4c73f2839c311ca1b409338c9719ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"work_type\",\n AVG(CAST(\"id\" AS REAL)) OVER (PARTITION BY \"work_type\") AS \"avg_measure\"\nFROM \"m7\"\nORDER BY \"avg_measure\" DESC;","notes":"Applied the Window Partition Average template with group_col=\"work_type\" and measure_col=\"id\". CAST was added because \"id\" is stored as TEXT in the schema, and SQLite AVG works correctly on numeric values after coercion."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8886263f137d510540972b8ca16ddd4ca972a1b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7886, "bytes_utf8": 7886, "lines": 243, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 525, "bytes_utf8": 525, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14336, "cached_input_tokens": 12032, "output_tokens": 342, "reasoning_output_tokens": 201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5eb68bf6e60c8dc21768b46e9dd4240dd76dd839 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2dcb48e24275b40c", + "api_calls": 0, + "input_tokens": 14336, + "cached_input_tokens": 12032, + "output_tokens": 342, + "total_tokens": 14678, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9157.08, + "sql_execution_elapsed_ms_total": 3.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2720f654293fcab240f39157556bd6b004e24046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:20.934089+00:00", + "ended_at": "2026-05-19T16:01:30.091199+00:00", + "elapsed_ms": 9157.08, + "prompt_metrics": { + "chars": 7886, + "bytes_utf8": 7886, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 880, + "bytes_utf8": 880, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 525, + "bytes_utf8": 525, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14336, + "cached_input_tokens": 12032, + "output_tokens": 342, + "reasoning_output_tokens": 201 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82219b3756e629f973cd6de1d734405ff9378ce2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=stroke, condition_col=stroke.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "stroke", + "condition_col": "stroke", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..02ac025f382c10d5d46d38c6454d402412e4fe63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6526-75b0-88d3-9d69ee87c3b2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"stroke\\\",\\n AVG(CASE WHEN \\\"stroke\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the required Grouped Condition Rate template with group_col=\\\"stroke\\\" and condition_col=\\\"stroke\\\" using condition_value='0'. Because the grouping column and condition column are the same, the result is a self-consistency probe: group '0' will have rate 1.0 and group '1' will have rate 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14336,"cached_input_tokens":12032,"output_tokens":342,"reasoning_output_tokens":201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a40aca80bc5c0723126a63193a1d748766dfe32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"stroke\",\n AVG(CASE WHEN \"stroke\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY condition_rate DESC;","notes":"Applied the required Grouped Condition Rate template with group_col=\"stroke\" and condition_col=\"stroke\" using condition_value='0'. Because the grouping column and condition column are the same, the result is a self-consistency probe: group '0' will have rate 1.0 and group '1' will have rate 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95271e00a99520f5f3b7d06c3e62a926728175df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7741, "bytes_utf8": 7741, "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": 7741, "bytes_utf8": 7741, "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": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14287, "cached_input_tokens": 12032, "output_tokens": 445, "reasoning_output_tokens": 341}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d92a804902e256270ec99c9245d2fee74fd09c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_31a015ffb58fcdf8", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 445, + "total_tokens": 14732, + "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": 13584.21, + "sql_execution_elapsed_ms_total": 10.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..771c8bae44f1b88c9d976ee3e926a5c92c24e71f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:58.260444+00:00", + "ended_at": "2026-05-19T16:07:01.570915+00:00", + "elapsed_ms": 3310.44, + "returncode": 1, + "prompt_metrics": { + "chars": 7741, + "bytes_utf8": 7741, + "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_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5228d4a03b3086664126cbbe27695b5359ce412 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/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": "2026-05-19T16:07:02.572515+00:00", + "ended_at": "2026-05-19T16:07:12.846315+00:00", + "elapsed_ms": 10273.77, + "prompt_metrics": { + "chars": 7741, + "bytes_utf8": 7741, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 775, + "bytes_utf8": 775, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 417, + "bytes_utf8": 417, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 445, + "reasoning_output_tokens": 341 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..da1328a3bc44602f4d1ef8600447b76a56ea2cb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..da1328a3bc44602f4d1ef8600447b76a56ea2cb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..52d5e2fc9da27ecd1264d94fd6b1da89995e95d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8ac7-7540-9d9b-1f502ef25cf8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..338d168417022cc1813901e6f5633629f682da3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8ac7-7540-9d9b-1f502ef25cf8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..960d6d791a0626cc40db540759606871e28fe493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9ba3-7742-8615-52dc7551ace8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Residence_type\\\",\\n AVG(CAST(NULLIF(\\\"age\\\", '') AS REAL)) OVER (PARTITION BY \\\"Residence_type\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the Window Partition Average template with group_col=\\\"Residence_type\\\" and measure_col=\\\"age\\\"; cast \\\"age\\\" from TEXT to REAL so SQLite computes the average correctly.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14287,"cached_input_tokens":12032,"output_tokens":445,"reasoning_output_tokens":341}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..68f84eb7568db8c49b3d8d6db68b0b1c0cc640c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Residence_type\",\n AVG(CAST(NULLIF(\"age\", '') AS REAL)) OVER (PARTITION BY \"Residence_type\") AS avg_measure\nFROM \"m7\"\nORDER BY avg_measure DESC;","notes":"Used the Window Partition Average template with group_col=\"Residence_type\" and measure_col=\"age\"; cast \"age\" from TEXT to REAL so SQLite computes the average correctly."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0e23fc43a33bbda4e09cf460092efb7c388439a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=stroke, condition_col=stroke.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "stroke", + "condition_col": "stroke", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_3339240a81854092/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..669509ab04bb1454c87c686396afff4862ae25a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7647, "bytes_utf8": 7647, "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": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14275, "cached_input_tokens": 12288, "output_tokens": 343, "reasoning_output_tokens": 243}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d2aeadc737fcb11522fbf8865ba4f866cff8bea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3339240a81854092", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 12288, + "output_tokens": 343, + "total_tokens": 14618, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9260.45, + "sql_execution_elapsed_ms_total": 2.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..264e13b2f501de469a51303cdcef5e2438e7a77d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:29.031580+00:00", + "ended_at": "2026-05-19T15:28:38.292064+00:00", + "elapsed_ms": 9260.45, + "prompt_metrics": { + "chars": 7647, + "bytes_utf8": 7647, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 716, + "bytes_utf8": 716, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 350, + "bytes_utf8": 350, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14275, + "cached_input_tokens": 12288, + "output_tokens": 343, + "reasoning_output_tokens": 243 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3aff8e41683c213fd9a0da876ff08488868ca96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "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_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa8b621c687342ec26fe87682264e2a1e409f3c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-4e7a-7f22-b62e-8609e39a43b3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"gender\\\" and measure_col=\\\"id\\\". Cast \\\"id\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14275,"cached_input_tokens":12288,"output_tokens":343,"reasoning_output_tokens":243}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07e94e5057c7106c20c399a3cf1191a03e65d43b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"gender\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the Grouped Numeric Sum template with group_col=\"gender\" and measure_col=\"id\". Cast \"id\" to NUMERIC because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..431338fd040cd4b1723f4270c9406cf0fa9d88b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:03.606934+00:00", + "ended_at": "2026-05-19T16:06:06.953959+00:00", + "elapsed_ms": 3346.99, + "returncode": 1, + "prompt_metrics": { + "chars": 7661, + "bytes_utf8": 7661, + "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_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..129d8d64136d28e071a003edd91d32ee5143b0a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:07.956533+00:00", + "ended_at": "2026-05-19T16:06:10.770533+00:00", + "elapsed_ms": 2813.95, + "returncode": 1, + "prompt_metrics": { + "chars": 7661, + "bytes_utf8": 7661, + "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_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b6a0d2e33fdbd0a7c78fb8ba773a827b26b8556 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Residence_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b6a0d2e33fdbd0a7c78fb8ba773a827b26b8556 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Residence_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..88bd5b960cadb0a2e25b50642c667f049c9c609c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b560-7a52-a74a-d65b4d8f3177"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43267a650a5091d469bec6244e6ac013ef28a9b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b560-7a52-a74a-d65b4d8f3177"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9c5efb92b36b1fbeee457f40481159458ec6718 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c644-75a3-bf94-beac3c649226"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af93ccc54b51b86f8d9e71b26184beab6f04911d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c644-75a3-bf94-beac3c649226"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b030a30111acf53301933ea99f941f00436a35ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7691, "bytes_utf8": 7691, "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": 439, "bytes_utf8": 439, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14286, "cached_input_tokens": 12032, "output_tokens": 265, "reasoning_output_tokens": 153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7b17c996e6072fe6d757eb1d079b64f9a4cc988f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3bba3cb41db2e4b3", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 265, + "total_tokens": 14551, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7733.71, + "sql_execution_elapsed_ms_total": 5.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..500a1f34bb39c47ef298d638d2217932c2874f6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:09.695891+00:00", + "ended_at": "2026-05-19T15:29:17.429641+00:00", + "elapsed_ms": 7733.71, + "prompt_metrics": { + "chars": 7691, + "bytes_utf8": 7691, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 793, + "bytes_utf8": 793, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 439, + "bytes_utf8": 439, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 265, + "reasoning_output_tokens": 153 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97da98995d098e99e6980706b44b5cb87486fb7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "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": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92c26907212da01fab02cf86996dfbeb74fd5835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"heart_disease\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY total_measure DESC;","notes":"Used the required grouped numeric sum template with group_col=\"heart_disease\" and measure_col=\"avg_glucose_level\". Cast the text measure to REAL and treat empty strings as NULL for SQLite-safe numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a626a4345f4d1201485b1c91fc79dc8890092e0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7849, "bytes_utf8": 7849, "lines": 238, "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": 678, "bytes_utf8": 678, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14336, "cached_input_tokens": 13696, "output_tokens": 704, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a042215ce0565b341f1ecb1ac4c439c4cf3d431b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3ca1e2993344e706", + "api_calls": 0, + "input_tokens": 14336, + "cached_input_tokens": 13696, + "output_tokens": 704, + "total_tokens": 15040, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13683.3, + "sql_execution_elapsed_ms_total": 20.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7441dc83614b2fd1c1f8a4cb776a0057991b43a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:02.165012+00:00", + "ended_at": "2026-05-19T15:44:15.848362+00:00", + "elapsed_ms": 13683.3, + "prompt_metrics": { + "chars": 7849, + "bytes_utf8": 7849, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1063, + "bytes_utf8": 1063, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 678, + "bytes_utf8": 678, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14336, + "cached_input_tokens": 13696, + "output_tokens": 704, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28035fd1a7c5c9b81d1a060ae29c3f01e47d2427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a211636ca05947a6a9cf07a31cab92a94a92abc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-8b69-7c22-8b7c-7f5a78fda566"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"avg_glucose_level\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n)\\nSELECT \\\"avg_glucose_level\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"avg_glucose_level\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to avg_glucose_level and num_tiles=10. Casts the TEXT measure to REAL for correct numeric ordering and excludes blank values before bucketing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14336,"cached_input_tokens":13696,"output_tokens":704,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d40d6612c9ee96a58bc0e5d2c918636b90f4e89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"avg_glucose_level\" AS REAL) AS \"avg_glucose_level\",\n NTILE(10) OVER (ORDER BY CAST(\"avg_glucose_level\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m7\"\n WHERE \"avg_glucose_level\" IS NOT NULL\n AND \"avg_glucose_level\" <> ''\n)\nSELECT \"avg_glucose_level\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"avg_glucose_level\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to avg_glucose_level and num_tiles=10. Casts the TEXT measure to REAL for correct numeric ordering and excludes blank values before bucketing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5adb70be7fc17ce1ea61e84caeb07c7f42e8369c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8484, "bytes_utf8": 8484, "lines": 243, "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": 713, "bytes_utf8": 713, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14492, "cached_input_tokens": 13696, "output_tokens": 673, "reasoning_output_tokens": 481}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..226dcf2d58000dc87200ca3512aaf2b4c07fb50f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3cc316fd0cc1d1d5", + "api_calls": 0, + "input_tokens": 14492, + "cached_input_tokens": 13696, + "output_tokens": 673, + "total_tokens": 15165, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13814.52, + "sql_execution_elapsed_ms_total": 2.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..77e5aba5c1b670b90e018cbe3d8f58800cd458c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:40.120736+00:00", + "ended_at": "2026-05-19T15:40:53.935289+00:00", + "elapsed_ms": 13814.52, + "prompt_metrics": { + "chars": 8484, + "bytes_utf8": 8484, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1082, + "bytes_utf8": 1082, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 713, + "bytes_utf8": 713, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14492, + "cached_input_tokens": 13696, + "output_tokens": 673, + "reasoning_output_tokens": 481 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6db06f35fce3cd28bf456fbf382a0fd142ef1de2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=ever_married, condition_col=ever_married.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "ever_married", + "condition_col": "ever_married", + "condition_value": "Yes", + "positive_value": "Yes", + "negative_value": "No", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a2ade051a221d976ab288373ed16ae741a5b833 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-763b-7fb3-8393-33fc325428a4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"ever_married\\\",\\n SUM(CASE WHEN \\\"ever_married\\\" = 'Yes' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ever_married\\\" = 'No' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"ever_married\\\"\\n)\\nSELECT \\\"ever_married\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied tpl_m4_group_ratio_two_conditions with group_col=\\\"ever_married\\\" and condition_col=\\\"ever_married\\\" using positive_value='Yes' and negative_value='No'. NULLIF protects against division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14492,"cached_input_tokens":13696,"output_tokens":673,"reasoning_output_tokens":481}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c4673069e4aec23d7588c70ab364f3418bbb32d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"ever_married\",\n SUM(CASE WHEN \"ever_married\" = 'Yes' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ever_married\" = 'No' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"ever_married\"\n)\nSELECT \"ever_married\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied tpl_m4_group_ratio_two_conditions with group_col=\"ever_married\" and condition_col=\"ever_married\" using positive_value='Yes' and negative_value='No'. NULLIF protects against division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a3efc8e53726ca0974255816418910359aa857a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8062, "bytes_utf8": 8062, "lines": 242, "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": 647, "bytes_utf8": 647, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14398, "cached_input_tokens": 12032, "output_tokens": 660, "reasoning_output_tokens": 471}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c00218aad0d3f358cb0c63131c0c3895f7c3316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_42db52b029b0a090", + "api_calls": 0, + "input_tokens": 14398, + "cached_input_tokens": 12032, + "output_tokens": 660, + "total_tokens": 15058, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12912.07, + "sql_execution_elapsed_ms_total": 26.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f8747936791c1740648bdaad13989a6b71083a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:46.131821+00:00", + "ended_at": "2026-05-19T15:35:59.043913+00:00", + "elapsed_ms": 12912.07, + "prompt_metrics": { + "chars": 8062, + "bytes_utf8": 8062, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1043, + "bytes_utf8": 1043, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 647, + "bytes_utf8": 647, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14398, + "cached_input_tokens": 12032, + "output_tokens": 660, + "reasoning_output_tokens": 471 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aecc0cd3cfc82bdad1bb681661009e31b9f3b14e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "item_col": "id", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e68a2c0fd63b8d303d97d9f1df21aaa7bb92b9a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-f9da-7913-9384-1468e26873f9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ever_married\\\", \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"ever_married\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\", \\\"id\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the required template bindings with group_col=\\\"ever_married\\\", item_col=\\\"id\\\", and measure_col=\\\"bmi\\\". Casts \\\"bmi\\\" from TEXT to REAL and treats empty strings as NULL so missing BMI values do not contribute to the sums.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14398,"cached_input_tokens":12032,"output_tokens":660,"reasoning_output_tokens":471}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fae9c43672b3ca9bb8b9ecf11c24c10dbd47873 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ever_married\", \"id\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"bmi\", '') AS REAL))) OVER (PARTITION BY \"ever_married\") AS \"share_within_group\"\nFROM \"m7\"\nGROUP BY \"ever_married\", \"id\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the required template bindings with group_col=\"ever_married\", item_col=\"id\", and measure_col=\"bmi\". Casts \"bmi\" from TEXT to REAL and treats empty strings as NULL so missing BMI values do not contribute to the sums."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39edf98699da9ef8302916cfbdc6f32457d21c9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7653, "bytes_utf8": 7653, "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": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 13696, "output_tokens": 420, "reasoning_output_tokens": 318}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fadcbd315bea50ab60225699169820c29026d350 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4366cb377638a483", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 13696, + "output_tokens": 420, + "total_tokens": 14697, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12324.15, + "sql_execution_elapsed_ms_total": 2.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..752c557ba13cce3f45c030d93052501b4418e9b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:46.159981+00:00", + "ended_at": "2026-05-19T15:29:58.484166+00:00", + "elapsed_ms": 12324.15, + "prompt_metrics": { + "chars": 7653, + "bytes_utf8": 7653, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 725, + "bytes_utf8": 725, + "lines": 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": 14277, + "cached_input_tokens": 13696, + "output_tokens": 420, + "reasoning_output_tokens": 318 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..657e5e14309f549c2a8897f1ba5aa2701520d5de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "work_type", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2db6018f4ad6637a51a1d04a7d9a83edcff5d9cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-7baf-75b0-b125-9c5b018253f6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"work_type\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with group_col=\\\"work_type\\\" and measure_col=\\\"id\\\". Cast \\\"id\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":13696,"output_tokens":420,"reasoning_output_tokens":318}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..760ba169c2ffddac8c1b5efe4839dbd8b00a6a87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"work_type\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with group_col=\"work_type\" and measure_col=\"id\". Cast \"id\" to NUMERIC because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62fe5b90033b450cf1bdbdb9049c10a3232ff09e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7916, "bytes_utf8": 7916, "lines": 243, "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": 420, "bytes_utf8": 420, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14338, "cached_input_tokens": 13696, "output_tokens": 331, "reasoning_output_tokens": 220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93d45a8f8e6526f59d311cbf92182098f9c96481 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_445f1548a18bfa31", + "api_calls": 0, + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 331, + "total_tokens": 14669, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8776.09, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..85e722ccb0007bc57580fb37e4c18ac1679c0f2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:03.255200+00:00", + "ended_at": "2026-05-19T15:59:12.031315+00:00", + "elapsed_ms": 8776.09, + "prompt_metrics": { + "chars": 7916, + "bytes_utf8": 7916, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 779, + "bytes_utf8": 779, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 420, + "bytes_utf8": 420, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 331, + "reasoning_output_tokens": 220 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cb11f00cc95f6015d2f49f7f6e43232c122c64a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Female", + "positive_value": "Female", + "negative_value": "Male", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3f098eee46b0e50035d9e6e3abd3203ef107efd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-4b52-7393-87c0-eacd5ccd289f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required template with group_col and condition_col both bound to \\\"gender\\\", so the result is the within-group proportion of rows equal to 'Female' for each gender category.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14338,"cached_input_tokens":13696,"output_tokens":331,"reasoning_output_tokens":220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72f2139370ee3bac97ac8f031485d33691c90778 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"gender\",\n AVG(CASE WHEN \"gender\" = 'Female' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the required template with group_col and condition_col both bound to \"gender\", so the result is the within-group proportion of rows equal to 'Female' for each gender category."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c81dc336188ff794d0f1f83c00261e4396e7503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7575, "bytes_utf8": 7575, "lines": 238, "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": 300, "bytes_utf8": 300, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14254, "cached_input_tokens": 12032, "output_tokens": 386, "reasoning_output_tokens": 300}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8ac876a5fe90d1d52098d1c62cbf779b4d1a6657 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_44865bcf0453647e", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 14640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10846.0, + "sql_execution_elapsed_ms_total": 3.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9653f051d9bb7b53cfedf7117b9da942c8e63c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:41.241203+00:00", + "ended_at": "2026-05-19T15:33:52.087245+00:00", + "elapsed_ms": 10846.0, + "prompt_metrics": { + "chars": 7575, + "bytes_utf8": 7575, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 658, + "bytes_utf8": 658, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 300, + "bytes_utf8": 300, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 386, + "reasoning_output_tokens": 300 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17c3e7e71099b6c938c2f4bbc823ae4b0b4a8ae3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ever_married.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "ever_married", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48e5b583386ff8583da226f94d87caa518b9932d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-1208-7042-bc06-12225632f83b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ever_married\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the Grouped Count by Category template with group_col bound to \\\"ever_married\\\" on the single table \\\"m7\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14254,"cached_input_tokens":12032,"output_tokens":386,"reasoning_output_tokens":300}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7319659f97ec64f2e9a81ebb1ba372cbdd9cdf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"ever_married\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"row_count\" DESC;","notes":"Applied the Grouped Count by Category template with group_col bound to \"ever_married\" on the single table \"m7\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ee9b03cec1ce05f2b23feda4b7dd92735d1a9c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7831, "bytes_utf8": 7831, "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": 1194, "bytes_utf8": 1194, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 2105, "reasoning_output_tokens": 1734}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8c3d7bebe20d28a015e864b192735204bc277634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_44bbcf21e5814da6", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 2105, + "total_tokens": 16420, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34218.26, + "sql_execution_elapsed_ms_total": 23.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..39fe04a387b74c430c8d600eef1bc69bfa227492 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:59.315385+00:00", + "ended_at": "2026-05-19T15:51:33.533674+00:00", + "elapsed_ms": 34218.26, + "prompt_metrics": { + "chars": 7831, + "bytes_utf8": 7831, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1691, + "bytes_utf8": 1691, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1194, + "bytes_utf8": 1194, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 2105, + "reasoning_output_tokens": 1734 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..78b0f5a310bb2e25c34bdd16285e143f02ddf7f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "work_type", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6ab69dadc8bedbd98b7c6666545349685640181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-e909-7e92-bb49-57016fad7130"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"work_type\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"id_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"work_type\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"work_type\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"work_type\\\" IS NOT NULL\\n AND TRIM(\\\"work_type\\\") <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND TRIM(\\\"id\\\") <> ''\\n),\\n\\\"thresholds\\\" AS (\\n SELECT\\n \\\"work_type\\\",\\n \\\"id_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.9 * \\\"cnt\\\") AS INTEGER) + ((0.9 * \\\"cnt\\\") > CAST((0.9 * \\\"cnt\\\") AS INTEGER)) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"work_type\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"target_rn\\\" THEN \\\"id_value\\\" END) AS \\\"percentile_measure\\\"\\nFROM \\\"thresholds\\\"\\nGROUP BY \\\"work_type\\\"\\nHAVING MAX(\\\"cnt\\\") >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per work_type via window functions. \\\"id\\\" is stored as TEXT in the schema, so it is cast to REAL before ordering; blank/null work_type and id values are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":13696,"output_tokens":2105,"reasoning_output_tokens":1734}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..962d13907b5cd84ac28569afa0b68d3d89390a0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"work_type\",\n CAST(\"id\" AS REAL) AS \"id_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"work_type\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"work_type\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"work_type\" IS NOT NULL\n AND TRIM(\"work_type\") <> ''\n AND \"id\" IS NOT NULL\n AND TRIM(\"id\") <> ''\n),\n\"thresholds\" AS (\n SELECT\n \"work_type\",\n \"id_value\",\n \"rn\",\n \"cnt\",\n CAST((0.9 * \"cnt\") AS INTEGER) + ((0.9 * \"cnt\") > CAST((0.9 * \"cnt\") AS INTEGER)) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"work_type\",\n MAX(CASE WHEN \"rn\" = \"target_rn\" THEN \"id_value\" END) AS \"percentile_measure\"\nFROM \"thresholds\"\nGROUP BY \"work_type\"\nHAVING MAX(\"cnt\") >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per work_type via window functions. \"id\" is stored as TEXT in the schema, so it is cast to REAL before ordering; blank/null work_type and id values are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d3f476c7d0f795c98a04ba17345a79daea4589f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "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": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14267, "cached_input_tokens": 13696, "output_tokens": 725, "reasoning_output_tokens": 608}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..efb971364ce398a8b0fa87df2c18674e1ee14ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_46750f3a1775058d", + "api_calls": 0, + "input_tokens": 14267, + "cached_input_tokens": 13696, + "output_tokens": 725, + "total_tokens": 14992, + "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": 18475.19, + "sql_execution_elapsed_ms_total": 2.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c0da1161fe7370c9ec801df92f2e3837a6c5c47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:33.320350+00:00", + "ended_at": "2026-05-19T16:03:36.629677+00:00", + "elapsed_ms": 3309.3, + "returncode": 1, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "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_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8b8c0800b9bd66245eeee3582901af5e4e557b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:37.631172+00:00", + "ended_at": "2026-05-19T16:03:52.797096+00:00", + "elapsed_ms": 15165.89, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 742, + "bytes_utf8": 742, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14267, + "cached_input_tokens": 13696, + "output_tokens": 725, + "reasoning_output_tokens": 608 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8bf26a45f1c4169f7ac07451cc53cce27eb2790e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8bf26a45f1c4169f7ac07451cc53cce27eb2790e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce0926f77c788c77a962899bce851fac0e0aed7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-6a5a-7ef1-aba9-3f91a085bed2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24af50185afd7e9a7f9e433a043b3fcdc3a71783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-6a5a-7ef1-aba9-3f91a085bed2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7461b33cbc9e2e1c9bed5306a34b8c8a5dda931 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-7b38-7a41-a79f-15e7cf22a585"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN NULLIF(\\\"bmi\\\", '') IS NULL THEN NULL WHEN CAST(NULLIF(\\\"bmi\\\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Uses the planned Threshold Rarity CDF template on \\\"bmi\\\" with threshold 33.1, casting the TEXT column to REAL and excluding blank bmi values from the average.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14267,"cached_input_tokens":13696,"output_tokens":725,"reasoning_output_tokens":608}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..24c4b1f0ed55371e3dbd05e948bdea2f89ce6439 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN NULLIF(\"bmi\", '') IS NULL THEN NULL WHEN CAST(NULLIF(\"bmi\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";","notes":"Uses the planned Threshold Rarity CDF template on \"bmi\" with threshold 33.1, casting the TEXT column to REAL and excluding blank bmi values from the average."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5a826517992cdaa2982064d67a88862d68197fa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "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": 578, "bytes_utf8": 578, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14331, "cached_input_tokens": 12032, "output_tokens": 438, "reasoning_output_tokens": 268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7fea3aefade3bd00a731d69e395c60308df2dd50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_46a4dd6a2591854d", + "api_calls": 0, + "input_tokens": 14331, + "cached_input_tokens": 12032, + "output_tokens": 438, + "total_tokens": 14769, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13265.53, + "sql_execution_elapsed_ms_total": 7.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..23c98cedfcb5dbcc4dc8d1c6056775fc9360a673 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:18.824065+00:00", + "ended_at": "2026-05-19T15:45:32.089620+00:00", + "elapsed_ms": 13265.53, + "prompt_metrics": { + "chars": 7818, + "bytes_utf8": 7818, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 958, + "bytes_utf8": 958, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 578, + "bytes_utf8": 578, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14331, + "cached_input_tokens": 12032, + "output_tokens": 438, + "reasoning_output_tokens": 268 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c536636327256ed7b4f9b5e14ec7c48e19bac007 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0209c84fca0b6a43b4e36f72bf66f2a2c82c2913 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-b6f1-7f60-830e-2fb38057b658"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL AND \\\"bmi\\\" <> ''\\n)\\nSELECT \\\"bmi\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"bmi\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template on \\\"bmi\\\". Because SQLite schema stores \\\"bmi\\\" as TEXT and sample rows show empty-string missing values, the query casts \\\"bmi\\\" to REAL for ranking and excludes blank/null entries.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14331,"cached_input_tokens":12032,"output_tokens":438,"reasoning_output_tokens":268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ecd94e7d951bc8833abe84bac5743c5c402a70c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"bmi\" AS REAL) AS \"bmi\",\n NTILE(10) OVER (ORDER BY CAST(\"bmi\" AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE \"bmi\" IS NOT NULL AND \"bmi\" <> ''\n)\nSELECT \"bmi\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"bmi\" DESC;","notes":"Applied the Quantile Tail Slice template on \"bmi\". Because SQLite schema stores \"bmi\" as TEXT and sample rows show empty-string missing values, the query casts \"bmi\" to REAL for ranking and excludes blank/null entries."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6477f5b55a21b313dc65f8ffccc8dbdf9559c909 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7655, "bytes_utf8": 7655, "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": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 12032, "output_tokens": 342, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5463d353d23810ef5982af77644f4ac97f4718b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4b5cbef29935adf2", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 342, + "total_tokens": 14619, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8432.99, + "sql_execution_elapsed_ms_total": 4.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9f4ab07b5cfab687983533cf9e4d58f6efa98f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:38.298779+00:00", + "ended_at": "2026-05-19T15:28:46.731799+00:00", + "elapsed_ms": 8432.99, + "prompt_metrics": { + "chars": 7655, + "bytes_utf8": 7655, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 728, + "bytes_utf8": 728, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 378, + "bytes_utf8": 378, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 342, + "reasoning_output_tokens": 238 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b4e9428b45cbfdc8dd765a992112b7935b2729f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3c730e057fdbb1821d8c5b16de2485be2ea2c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-72a7-77c0-8c27-4a750b08a879"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"hypertension\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied tpl_h2o_group_sum with group_col=hypertension and measure_col=age; cast \\\"age\\\" from TEXT to REAL and treat empty strings as NULL for SQLite-safe numeric summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":12032,"output_tokens":342,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..982fd1d185be9d34f7775df2bb66f20b41756900 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"hypertension\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY total_measure DESC;","notes":"Applied tpl_h2o_group_sum with group_col=hypertension and measure_col=age; cast \"age\" from TEXT to REAL and treat empty strings as NULL for SQLite-safe numeric summation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c920c956da346ce7a3ffbad28d230ecabb17bf9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8199, "bytes_utf8": 8199, "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": 790, "bytes_utf8": 790, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14414, "cached_input_tokens": 13696, "output_tokens": 590, "reasoning_output_tokens": 355}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1905e04666eb8adcccf06b28e804c8f1ab59dd64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4bf35883b84822bb", + "api_calls": 0, + "input_tokens": 14414, + "cached_input_tokens": 13696, + "output_tokens": 590, + "total_tokens": 15004, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15615.71, + "sql_execution_elapsed_ms_total": 4.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fe4f90b269b0b2668c08e639034ff4a448c2ea55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:16.048469+00:00", + "ended_at": "2026-05-19T15:49:31.664203+00:00", + "elapsed_ms": 15615.71, + "prompt_metrics": { + "chars": 8199, + "bytes_utf8": 8199, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1224, + "bytes_utf8": 1224, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 790, + "bytes_utf8": 790, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14414, + "cached_input_tokens": 13696, + "output_tokens": 590, + "reasoning_output_tokens": 355 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f22b747f6c8c822daa17660e81d6bc77bbce1d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bbdfa5f760648273355549c19e0cde4a12ab63c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-55ad-7432-8348-1cc5ee09ec80"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"stroke\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"stroke\\\" IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n GROUP BY \\\"stroke\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"stroke\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Because \\\"bmi\\\" is stored as TEXT and may be empty, the query casts non-empty values to REAL and filters out empty BMI rows before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14414,"cached_input_tokens":13696,"output_tokens":590,"reasoning_output_tokens":355}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6a8927c03d16f721e5210b4cbf3b5e5e0161a04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"stroke\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"group_value\"\n FROM \"m7\"\n WHERE \"stroke\" IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\n GROUP BY \"stroke\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"stroke\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested template with group_col=\"stroke\" and measure_col=\"bmi\". Because \"bmi\" is stored as TEXT and may be empty, the query casts non-empty values to REAL and filters out empty BMI rows before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b274a017abe706b0f726189eae1521807adb8f23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8095, "bytes_utf8": 8095, "lines": 242, "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": 771, "bytes_utf8": 771, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 13696, "output_tokens": 728, "reasoning_output_tokens": 509}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c41cd9eda64f10fb6e8585c5e9851020f6bd8f3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4caac7c7b4e0fe33", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 13696, + "output_tokens": 728, + "total_tokens": 15132, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16197.39, + "sql_execution_elapsed_ms_total": 11.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c2e9a3dc7a2604b67c6bf400a993bb7275ae559 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:54.232034+00:00", + "ended_at": "2026-05-19T15:37:10.429453+00:00", + "elapsed_ms": 16197.39, + "prompt_metrics": { + "chars": 8095, + "bytes_utf8": 8095, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1164, + "bytes_utf8": 1164, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 771, + "bytes_utf8": 771, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14404, + "cached_input_tokens": 13696, + "output_tokens": 728, + "reasoning_output_tokens": 509 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d24b30e8f809da95fe812467e2e67e2ab8afc0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..990e0fa4b99f4f852912e9f064f375894ea24ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-03cc-7cc2-91eb-17623ed32235"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"smoking_status\\\",\\n \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"smoking_status\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"smoking_status\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"smoking_status\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Casts text glucose values to REAL and excludes blank glucose/bmi entries for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14404,"cached_input_tokens":13696,"output_tokens":728,"reasoning_output_tokens":509}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..625a613ccc3df3ae2a356243db60b49a3458de7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"smoking_status\",\n \"bmi\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL))) OVER (PARTITION BY \"smoking_status\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"smoking_status\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Uses the requested template with group_col=\"smoking_status\", item_col=\"bmi\", and measure_col=\"avg_glucose_level\". Casts text glucose values to REAL and excludes blank glucose/bmi entries for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3afbc064c7ed1abb6e9443994d283639f0a5af42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8479, "bytes_utf8": 8479, "lines": 243, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14488, "cached_input_tokens": 13696, "output_tokens": 543, "reasoning_output_tokens": 369}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eca045642550ec06e1f8ddfe14afc186785f6aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4f12b7be60730b40", + "api_calls": 0, + "input_tokens": 14488, + "cached_input_tokens": 13696, + "output_tokens": 543, + "total_tokens": 15031, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12118.77, + "sql_execution_elapsed_ms_total": 2.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..51d94761629034a8e9de0a78ab3bc94f096f89a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:15.198986+00:00", + "ended_at": "2026-05-19T15:40:27.317807+00:00", + "elapsed_ms": 12118.77, + "prompt_metrics": { + "chars": 8479, + "bytes_utf8": 8479, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1024, + "bytes_utf8": 1024, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14488, + "cached_input_tokens": 13696, + "output_tokens": 543, + "reasoning_output_tokens": 369 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66fe1dd4c13031e5d2734fc00283c0430f8d949c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=hypertension, condition_col=hypertension.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "hypertension", + "condition_col": "hypertension", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82bb467a5146b4fb0d3d606db04d69488bcb2c40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-14ee-7021-bab7-5b46ebc03995"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"hypertension\\\",\\n SUM(CASE WHEN \\\"hypertension\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"hypertension\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"hypertension\\\"\\n)\\nSELECT \\\"hypertension\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided template exactly with both group_col and condition_col bound to \\\"hypertension\\\", using positive_value='0' and negative_value='1'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14488,"cached_input_tokens":13696,"output_tokens":543,"reasoning_output_tokens":369}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cd17c7dcc7b48a024ceb8b0c4a95233c6edaf5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"hypertension\",\n SUM(CASE WHEN \"hypertension\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"hypertension\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"hypertension\"\n)\nSELECT \"hypertension\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided template exactly with both group_col and condition_col bound to \"hypertension\", using positive_value='0' and negative_value='1'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba90cb55b2322e7a22e33b2b2b7806dc58226271 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7615, "bytes_utf8": 7615, "lines": 238, "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": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14272, "cached_input_tokens": 12032, "output_tokens": 344, "reasoning_output_tokens": 234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fe009cb865e82cb81da202b91b0d4b73f462fdaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_5025de02a2389f0e", + "api_calls": 0, + "input_tokens": 14272, + "cached_input_tokens": 12032, + "output_tokens": 344, + "total_tokens": 14616, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8699.51, + "sql_execution_elapsed_ms_total": 1.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8106113fc0f601e2865ec25710e6064b9c73a253 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:41.498843+00:00", + "ended_at": "2026-05-19T16:02:50.198388+00:00", + "elapsed_ms": 8699.51, + "prompt_metrics": { + "chars": 7615, + "bytes_utf8": 7615, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 724, + "bytes_utf8": 724, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 380, + "bytes_utf8": 380, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14272, + "cached_input_tokens": 12032, + "output_tokens": 344, + "reasoning_output_tokens": 234 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..90950a5a3f0097cc1cc5e744db060937e4b01839 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..706f2ac1606a023e099f9ae7cb77a11dce300a4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-a004-7692-9af6-1852a30b42d2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"avg_glucose_level\\\" AS REAL) <= 114.09 THEN 1.0 ELSE 0.0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col=\\\"avg_glucose_level\\\" and measure_threshold=114.09. Cast the TEXT column to REAL so SQLite performs a numeric comparison.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14272,"cached_input_tokens":12032,"output_tokens":344,"reasoning_output_tokens":234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9529b47ce979ed8110765a5e3390a144c1703602 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"avg_glucose_level\" AS REAL) <= 114.09 THEN 1.0 ELSE 0.0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";","notes":"Applied the Threshold Rarity CDF template with measure_col=\"avg_glucose_level\" and measure_threshold=114.09. Cast the TEXT column to REAL so SQLite performs a numeric comparison."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f153971801109233c75a7fb744fc4269d17577ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8092, "bytes_utf8": 8092, "lines": 242, "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": 738, "bytes_utf8": 738, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 508, "reasoning_output_tokens": 293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b94db2483cb0290d210d03b3e895d383c366556d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_50f1fa50f943e408", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 508, + "total_tokens": 14912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12087.58, + "sql_execution_elapsed_ms_total": 6.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f7347c5def1c64d5a3864d008f427d6f5f07c0c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:54.341048+00:00", + "ended_at": "2026-05-19T15:39:06.428665+00:00", + "elapsed_ms": 12087.58, + "prompt_metrics": { + "chars": 8092, + "bytes_utf8": 8092, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1131, + "bytes_utf8": 1131, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 738, + "bytes_utf8": 738, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 508, + "reasoning_output_tokens": 293 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd2e0d6e7b0e91db4e6940ba9507ac48d5bcb94d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8002c4d5f82d00c45bac42edbc3377185142a714 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-d929-7070-8c50-bba2f987393f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"heart_disease\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Casts text glucose values to REAL and excludes blank glucose/bmi values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14404,"cached_input_tokens":12032,"output_tokens":508,"reasoning_output_tokens":293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10c720c2e40025bc68ee8bf88b95930d299196fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"heart_disease\",\n \"bmi\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL))) OVER (PARTITION BY \"heart_disease\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"heart_disease\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Uses the requested template with group_col=\"heart_disease\", item_col=\"bmi\", and measure_col=\"avg_glucose_level\". Casts text glucose values to REAL and excludes blank glucose/bmi values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6668b1e545119eb1e605d343215329d33a208f0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7995, "bytes_utf8": 7995, "lines": 244, "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": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14374, "cached_input_tokens": 12032, "output_tokens": 291, "reasoning_output_tokens": 178}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3049f3708cb8226f0991504514485427fd818d98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_510b022dac468f99", + "api_calls": 0, + "input_tokens": 14374, + "cached_input_tokens": 12032, + "output_tokens": 291, + "total_tokens": 14665, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35780.66, + "sql_execution_elapsed_ms_total": 2.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e46038de4c458436be055e1e24da2ebbcb6a415 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:30.090837+00:00", + "ended_at": "2026-05-19T15:43:05.871539+00:00", + "elapsed_ms": 35780.66, + "prompt_metrics": { + "chars": 7995, + "bytes_utf8": 7995, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 3115, + "bytes_utf8": 3115, + "lines": 11, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 421, + "bytes_utf8": 421, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14374, + "cached_input_tokens": 12032, + "output_tokens": 291, + "reasoning_output_tokens": 178 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..05302254f93765caa0b64e5c00e4c4f2ad9bbee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Residence_type, group_col_2=smoking_status.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Residence_type", + "group_col_2": "smoking_status", + "predicate_col": "ever_married", + "predicate_op": "=", + "predicate_value": "No", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4fa778164d8e92ee5639491dbbde3d4dc62d599 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,11 @@ +{"type":"thread.started","thread_id":"019e40e7-23e2-7f03-973b-b5ec8e3be5b2"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15009. Please try again in 450ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15009. Please try again in 450ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988834, Requested 15009. Please try again in 115ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15009. Please try again in 450ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989796, Requested 15009. Please try again in 144ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15009. Please try again in 450ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989500, Requested 15009. Please try again in 135ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Residence_type\\\", \\\"smoking_status\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"ever_married\\\" = 'No'\\nGROUP BY \\\"Residence_type\\\", \\\"smoking_status\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the required filtered two-dimensional group count template with group_col=\\\"Residence_type\\\", group_col_2=\\\"smoking_status\\\", and predicate ever_married = 'No'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14374,"cached_input_tokens":12032,"output_tokens":291,"reasoning_output_tokens":178}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92236b412951d8e91186b41a27cd6b58d0fe5208 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Residence_type\", \"smoking_status\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"ever_married\" = 'No'\nGROUP BY \"Residence_type\", \"smoking_status\"\nORDER BY row_count DESC;","notes":"Uses the required filtered two-dimensional group count template with group_col=\"Residence_type\", group_col_2=\"smoking_status\", and predicate ever_married = 'No'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..25f1c547a5b8a4e9fdb526bd6fa43c1a72e50010 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8081, "bytes_utf8": 8081, "lines": 242, "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": 813, "bytes_utf8": 813, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14398, "cached_input_tokens": 13696, "output_tokens": 625, "reasoning_output_tokens": 405}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..77c1398451593cec60a7ecd0a7222efbea4c894e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_536cffbd63c75c63", + "api_calls": 0, + "input_tokens": 14398, + "cached_input_tokens": 13696, + "output_tokens": 625, + "total_tokens": 15023, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12382.59, + "sql_execution_elapsed_ms_total": 31.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fcd9ef017df9ee975e37957c90983411656dc402 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:41.811075+00:00", + "ended_at": "2026-05-19T15:36:54.193702+00:00", + "elapsed_ms": 12382.59, + "prompt_metrics": { + "chars": 8081, + "bytes_utf8": 8081, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1212, + "bytes_utf8": 1212, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 813, + "bytes_utf8": 813, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14398, + "cached_input_tokens": 13696, + "output_tokens": 625, + "reasoning_output_tokens": 405 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ddf9609e1bf02e91006f52c2e914f6f819e2a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "item_col": "avg_glucose_level", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..006564b810a1665ff92c0d87198dcd131db88ee7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-d351-7ef2-95c1-8aa03b1f3065"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Residence_type\\\", \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"Residence_type\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"Residence_type\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"Residence_type\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"Residence_type\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". Because \\\"age\\\" is stored as TEXT in the schema snapshot, it is cast to REAL and blank strings are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14398,"cached_input_tokens":13696,"output_tokens":625,"reasoning_output_tokens":405}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0e96b22ffb0e760b385714245b3da632fdc9bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Residence_type\", \"avg_glucose_level\",\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"age\", '') AS REAL))) OVER (PARTITION BY \"Residence_type\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"Residence_type\", '') IS NOT NULL\n AND NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"age\", '') IS NOT NULL\nGROUP BY \"Residence_type\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;","notes":"Uses the requested template with group_col=\"Residence_type\", item_col=\"avg_glucose_level\", and measure_col=\"age\". Because \"age\" is stored as TEXT in the schema snapshot, it is cast to REAL and blank strings are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f45baf0a36015436ff4febf6bfbc7e8f49d4f32d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:12.860772+00:00", + "ended_at": "2026-05-19T16:07:15.851412+00:00", + "elapsed_ms": 2990.61, + "returncode": 1, + "prompt_metrics": { + "chars": 7746, + "bytes_utf8": 7746, + "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_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1e26522ebbe2e6545499828ed6c471f3938fe00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:16.853572+00:00", + "ended_at": "2026-05-19T16:07:19.691804+00:00", + "elapsed_ms": 2838.2, + "returncode": 1, + "prompt_metrics": { + "chars": 7746, + "bytes_utf8": 7746, + "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_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2779f58fdc9326e1abb98bae41d58a9f41ea7248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Residence_type", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2779f58fdc9326e1abb98bae41d58a9f41ea7248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Residence_type", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56f44c238c957589de04267e9e149efb9ffe83b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c409-7691-9794-b7dba16363dc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19684a6271d1b0ba83aaa35c4852b72c773c3375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c409-7691-9794-b7dba16363dc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ef06bcd0f73a4315f0225a29816fabc4cc16ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d36e-7751-b4f7-664b46fca03b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..63b1bc7ef2b87fedd2e9f999b2b96f01694276fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d36e-7751-b4f7-664b46fca03b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b5ae2ee08552ce19acd01d06ced817daf1a94261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8247, "bytes_utf8": 8247, "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": 847, "bytes_utf8": 847, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14424, "cached_input_tokens": 13696, "output_tokens": 761, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7d18adf01ac81bee272bb2d58d327ccf379180b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_585c0dd3fab76e7b", + "api_calls": 0, + "input_tokens": 14424, + "cached_input_tokens": 13696, + "output_tokens": 761, + "total_tokens": 15185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13145.17, + "sql_execution_elapsed_ms_total": 4.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0bf9d8011f9c53feb6b0dee66da64d41d70dabaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:13.147221+00:00", + "ended_at": "2026-05-19T15:47:26.292438+00:00", + "elapsed_ms": 13145.17, + "prompt_metrics": { + "chars": 8247, + "bytes_utf8": 8247, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1282, + "bytes_utf8": 1282, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 847, + "bytes_utf8": 847, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14424, + "cached_input_tokens": 13696, + "output_tokens": 761, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fed2f81cd694c8e1d04c7811563777e484706bb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4dd75bc7a91237bee48ee1d3bc973e01b3e94a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-7604-7130-8fab-39345b7faba1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"heart_disease\\\", SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"heart_disease\\\" IS NOT NULL\\n AND \\\"heart_disease\\\" <> ''\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n GROUP BY \\\"heart_disease\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"heart_disease\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"heart_disease\\\" and measure_col=\\\"avg_glucose_level\\\". Cast the TEXT measure to REAL and filtered out NULL/empty values for a stable aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14424,"cached_input_tokens":13696,"output_tokens":761,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5e9ff3fe49ab4a6f3bf05ad999774d817201e7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"heart_disease\", SUM(CAST(\"avg_glucose_level\" AS REAL)) AS \"group_value\"\n FROM \"m7\"\n WHERE \"heart_disease\" IS NOT NULL\n AND \"heart_disease\" <> ''\n AND \"avg_glucose_level\" IS NOT NULL\n AND \"avg_glucose_level\" <> ''\n GROUP BY \"heart_disease\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"heart_disease\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the requested template with group_col=\"heart_disease\" and measure_col=\"avg_glucose_level\". Cast the TEXT measure to REAL and filtered out NULL/empty values for a stable aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3bb8473293754498079dfd489550adfa66b764ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7688, "bytes_utf8": 7688, "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": 431, "bytes_utf8": 431, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14285, "cached_input_tokens": 12032, "output_tokens": 313, "reasoning_output_tokens": 200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7aed83844370e4908d12811ded44461b7d2dce83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_5915e918a835cb01", + "api_calls": 0, + "input_tokens": 14285, + "cached_input_tokens": 12032, + "output_tokens": 313, + "total_tokens": 14598, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14761.91, + "sql_execution_elapsed_ms_total": 3.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fa8c501d48a1c96b0ce4a4da81f4f146f6e88d85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:54.924883+00:00", + "ended_at": "2026-05-19T15:29:09.686815+00:00", + "elapsed_ms": 14761.91, + "prompt_metrics": { + "chars": 7688, + "bytes_utf8": 7688, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 785, + "bytes_utf8": 785, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 431, + "bytes_utf8": 431, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14285, + "cached_input_tokens": 12032, + "output_tokens": 313, + "reasoning_output_tokens": 200 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b10fb9704a235d5b6619d16332564ef9656ef2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5a52c5cdeefe33d8134e55cfe8d82373a3288b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-b3a0-70c1-8c7e-4977fbbb434b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"heart_disease\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped-sum template with group_col=\\\"heart_disease\\\" and measure_col=\\\"avg_glucose_level\\\". Cast the TEXT measure to REAL and used NULLIF to avoid treating empty strings as numeric values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14285,"cached_input_tokens":12032,"output_tokens":313,"reasoning_output_tokens":200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c159541a7bb43713d5ec2c926bb0278d9a3a7b9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"heart_disease\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY total_measure DESC;","notes":"Applied the planned grouped-sum template with group_col=\"heart_disease\" and measure_col=\"avg_glucose_level\". Cast the TEXT measure to REAL and used NULLIF to avoid treating empty strings as numeric values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e590638dae0b91a40fbdbda06a5b95f269181bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:38.757372+00:00", + "ended_at": "2026-05-19T16:05:42.082840+00:00", + "elapsed_ms": 3325.44, + "returncode": 1, + "prompt_metrics": { + "chars": 7652, + "bytes_utf8": 7652, + "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_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..78d0220c0bdc3cfb5d83e3f1813c837f59f4c4d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:43.084491+00:00", + "ended_at": "2026-05-19T16:05:47.350527+00:00", + "elapsed_ms": 4266.01, + "returncode": 1, + "prompt_metrics": { + "chars": 7652, + "bytes_utf8": 7652, + "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_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c3f2b875f6315760d3c6c8c65efe059924c6343 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=work_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c3f2b875f6315760d3c6c8c65efe059924c6343 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=work_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e9794fda9f3b7fb00d23711c33f059abaeceeed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5448-78a0-9d15-2b6e82540269"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2b2496dfc4cc072304c850047bf89091e7b323e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5448-78a0-9d15-2b6e82540269"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5b020d36b71456359070daf8130c4874512b235 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6529-7010-83f2-69a94ee7ade3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..56e6a287cecf8cc93fc5e8ae3c877db84aa8e8be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6529-7010-83f2-69a94ee7ade3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ff7b35fc967b5b11a30ff42a4d2b2b132a547d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7939, "bytes_utf8": 7939, "lines": 243, "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": 532, "bytes_utf8": 532, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14343, "cached_input_tokens": 12032, "output_tokens": 419, "reasoning_output_tokens": 280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1e677a491bd218322a73c46eddf61dedd3974219 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_5abce03b3382472c", + "api_calls": 0, + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 419, + "total_tokens": 14762, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9710.2, + "sql_execution_elapsed_ms_total": 5.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f8a29d60f3c85e5122285cdef67c67c56f54e27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:26.893233+00:00", + "ended_at": "2026-05-19T16:00:36.603463+00:00", + "elapsed_ms": 9710.2, + "prompt_metrics": { + "chars": 7939, + "bytes_utf8": 7939, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 895, + "bytes_utf8": 895, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 532, + "bytes_utf8": 532, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 419, + "reasoning_output_tokens": 280 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01dd82d62b472052f5530ffe71f4065b78d7cb57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=work_type, condition_col=work_type.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "work_type", + "condition_col": "work_type", + "condition_value": "Private", + "positive_value": "Private", + "negative_value": "Self-employed", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..78f17a55d4eb45a59bcf4d97191d818e4eb924ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9222-72c1-aa2f-311ad321d2d8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"work_type\\\",\\n AVG(CASE WHEN \\\"work_type\\\" = 'Private' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col and condition_col both bound to \\\"work_type\\\" and condition_value bound to 'Private'. This makes the within-group proportion deterministic: the \\\"Private\\\" group has rate 1.0 and all other work_type groups have rate 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14343,"cached_input_tokens":12032,"output_tokens":419,"reasoning_output_tokens":280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86090414832e63febb6e7c03a9f85d7af312fea2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"work_type\",\n AVG(CASE WHEN \"work_type\" = 'Private' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col and condition_col both bound to \"work_type\" and condition_value bound to 'Private'. This makes the within-group proportion deterministic: the \"Private\" group has rate 1.0 and all other work_type groups have rate 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e123155defbc031b445071f7f74cc4b41c8734e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7869, "bytes_utf8": 7869, "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": 7869, "bytes_utf8": 7869, "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": 863, "bytes_utf8": 863, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14323, "cached_input_tokens": 13696, "output_tokens": 1328, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7d986be409a2e7c3673214d36e80211d26af3911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_5df1956148251baa", + "api_calls": 0, + "input_tokens": 14323, + "cached_input_tokens": 13696, + "output_tokens": 1328, + "total_tokens": 15651, + "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": 27068.44, + "sql_execution_elapsed_ms_total": 13.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..71279a261a5770730fbfaf2fb941d4bc8f4bb96d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:57.431505+00:00", + "ended_at": "2026-05-19T15:53:00.265277+00:00", + "elapsed_ms": 2833.75, + "returncode": 1, + "prompt_metrics": { + "chars": 7869, + "bytes_utf8": 7869, + "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_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d09f1baf876342aa15d6a61c2be4e8e7dad7348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:01.267370+00:00", + "ended_at": "2026-05-19T15:53:25.502103+00:00", + "elapsed_ms": 24234.69, + "prompt_metrics": { + "chars": 7869, + "bytes_utf8": 7869, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1547, + "bytes_utf8": 1549, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 863, + "bytes_utf8": 863, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14323, + "cached_input_tokens": 13696, + "output_tokens": 1328, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d870562a44fe34f938475233986aaf1cbd89ebb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d870562a44fe34f938475233986aaf1cbd89ebb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe3769a4bdffe2d9cf61c242c60a5d98653ee81d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-b67d-7ec1-8969-327f585203a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..426ea7070d0fd8566b1537bec374021e52846eb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-b67d-7ec1-8969-327f585203a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c31be4659d1e4c6e22b65b7b8f7253a63e71a65c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40f0-c54e-7063-93da-4abd93484fda"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"I’m translating the requested percentile template into a SQLite-safe single `SELECT`, since `PERCENTILE_CONT` is not available in SQLite and the numeric columns are stored as `TEXT`."}} +{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"smoking_status\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoking_status\\\"\\n ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoking_status\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"smoking_status\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST((\\\"cnt\\\" * 0.95) + 0.999999 AS INT)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per smoking_status via window functions. avg_glucose_level is cast from TEXT to REAL, and empty strings are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14323,"cached_input_tokens":13696,"output_tokens":1328,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af7b7240b766b497f0c33b6ef94801b377b4fce3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"smoking_status\",\n CAST(\"avg_glucose_level\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"smoking_status\"\n ORDER BY CAST(\"avg_glucose_level\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"smoking_status\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n)\nSELECT\n \"smoking_status\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST((\"cnt\" * 0.95) + 0.999999 AS INT)\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per smoking_status via window functions. avg_glucose_level is cast from TEXT to REAL, and empty strings are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c351917682abaadbca4059404e8c17520edda1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7658, "bytes_utf8": 7658, "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": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14280, "cached_input_tokens": 12032, "output_tokens": 334, "reasoning_output_tokens": 208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..69cc0bc90b4a07c1611ee3975cf316559ca918af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_620d3017749bce96", + "api_calls": 0, + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 334, + "total_tokens": 14614, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10774.28, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..88c96dfe082b85914b6847f5207be85efc538fbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:27.321767+00:00", + "ended_at": "2026-05-19T15:29:38.096093+00:00", + "elapsed_ms": 10774.28, + "prompt_metrics": { + "chars": 7658, + "bytes_utf8": 7658, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 827, + "bytes_utf8": 827, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 461, + "bytes_utf8": 461, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 334, + "reasoning_output_tokens": 208 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d64ade30866973535c4631a3e0079e7f1c4ea012 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..986c124db193707eb590d9ed4ff457330f6eb10d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-321b-7260-ad04-f77115d432db"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the grouped numeric sum template with group_col=\\\"ever_married\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, NULLIF + CAST to REAL is used so SQLite sums numeric values correctly and ignores blanks.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14280,"cached_input_tokens":12032,"output_tokens":334,"reasoning_output_tokens":208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6682a790cdcb596d6b469ef7e34c60f32fbb0d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ever_married\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the grouped numeric sum template with group_col=\"ever_married\" and measure_col=\"bmi\". Since \"bmi\" is stored as TEXT and may contain empty strings, NULLIF + CAST to REAL is used so SQLite sums numeric values correctly and ignores blanks."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a4815d422624206180573fd89a6a8ea5d896b3c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8077, "bytes_utf8": 8077, "lines": 242, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 692, "bytes_utf8": 692, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14398, "cached_input_tokens": 13696, "output_tokens": 1302, "reasoning_output_tokens": 1108}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1275a1ea9bc862d9bc5a63dd92f3ce8ebe523775 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_73d708cb0433fa22", + "api_calls": 0, + "input_tokens": 14398, + "cached_input_tokens": 13696, + "output_tokens": 1302, + "total_tokens": 15700, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23864.87, + "sql_execution_elapsed_ms_total": 37.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1fc1cb0a9c1a8f66a2f54cc66b563a0845d3d37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:36.700008+00:00", + "ended_at": "2026-05-19T15:35:00.564917+00:00", + "elapsed_ms": 23864.87, + "prompt_metrics": { + "chars": 8077, + "bytes_utf8": 8077, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1085, + "bytes_utf8": 1085, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 692, + "bytes_utf8": 692, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14398, + "cached_input_tokens": 13696, + "output_tokens": 1302, + "reasoning_output_tokens": 1108 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca00f59313672c2db6ed5eae220fff78d09072a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "item_col": "avg_glucose_level", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8737c0c8807bfae8f7af69aef26ce955f35d2de0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-eab0-7d31-9e9d-f4d17cca6e06"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"hypertension\\\",\\n \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"hypertension\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"hypertension\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". Casts \\\"age\\\" from TEXT to REAL and excludes blank ages for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14398,"cached_input_tokens":13696,"output_tokens":1302,"reasoning_output_tokens":1108}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..443926893cd3eb1291eaa583978da3e81352f663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT\n \"hypertension\",\n \"avg_glucose_level\",\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"age\", '') AS REAL))) OVER (PARTITION BY \"hypertension\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"age\", '') IS NOT NULL\nGROUP BY \"hypertension\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;","notes":"Uses the planned within-group share template with group_col=\"hypertension\", item_col=\"avg_glucose_level\", and measure_col=\"age\". Casts \"age\" from TEXT to REAL and excludes blank ages for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8df2beaeac835d6f0b3a7dadf3802d2f5e08cc99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8055, "bytes_utf8": 8055, "lines": 242, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 688, "bytes_utf8": 688, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 12032, "output_tokens": 720, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..01ff2e5e1637851d99bef594b9f85aaa86051271 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_73f49e4ea98e6e18", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 720, + "total_tokens": 15117, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15025.91, + "sql_execution_elapsed_ms_total": 17.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d624206ece934392fc0adda8f6e6a93e09ce09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:31.085176+00:00", + "ended_at": "2026-05-19T15:35:46.111121+00:00", + "elapsed_ms": 15025.91, + "prompt_metrics": { + "chars": 8055, + "bytes_utf8": 8055, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1080, + "bytes_utf8": 1080, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 688, + "bytes_utf8": 688, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 720, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65fbc9fbea16d03a49a8d2bbacbc4ab9399ecf3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "item_col": "id", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5440cb628c99ce9eca5acd831354fc344d77f839 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-bf2a-76b3-a649-5170b89c975b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ever_married\\\",\\n \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"ever_married\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"ever_married\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested template with group_col=\\\"ever_married\\\", item_col=\\\"id\\\", and measure_col=\\\"bmi\\\". Because \\\"bmi\\\" is stored as TEXT and may be empty, the query casts non-empty values to REAL and excludes empty strings as missing values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14397,"cached_input_tokens":12032,"output_tokens":720,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4660b559630c9b46f6a3e74a1f0687114aea1355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ever_married\",\n \"id\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"bmi\", '') AS REAL))) OVER (PARTITION BY \"ever_married\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"ever_married\", \"id\"\nORDER BY share_within_group DESC;","notes":"Used the requested template with group_col=\"ever_married\", item_col=\"id\", and measure_col=\"bmi\". Because \"bmi\" is stored as TEXT and may be empty, the query casts non-empty values to REAL and excludes empty strings as missing values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..593f14431ebbb8d40a02c9443897e5a2c0bc8f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7573, "bytes_utf8": 7573, "lines": 238, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 292, "bytes_utf8": 292, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14253, "cached_input_tokens": 13696, "output_tokens": 275, "reasoning_output_tokens": 190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7299d6466ea47e87e15dcb54a8badaf89ef6008e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7622198560f1020f", + "api_calls": 0, + "input_tokens": 14253, + "cached_input_tokens": 13696, + "output_tokens": 275, + "total_tokens": 14528, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9649.24, + "sql_execution_elapsed_ms_total": 2.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0c4133fff0817192c7e32213d65f6685f1314f49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:54.105034+00:00", + "ended_at": "2026-05-19T15:32:03.754303+00:00", + "elapsed_ms": 9649.24, + "prompt_metrics": { + "chars": 7573, + "bytes_utf8": 7573, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 650, + "bytes_utf8": 650, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 292, + "bytes_utf8": 292, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14253, + "cached_input_tokens": 13696, + "output_tokens": 275, + "reasoning_output_tokens": 190 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4943450a621f118b63cf5485ab1231129b8a65c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=work_type.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3c2ffdfb0ae3051b76feffe94101d819e2ecea9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-6f8e-7b01-a620-34a77cc7f84f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"work_type\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the Grouped Count by Category template with group_col bound to \\\"work_type\\\" on the single table \\\"m7\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14253,"cached_input_tokens":13696,"output_tokens":275,"reasoning_output_tokens":190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c62e5e397905b57a2affd3b5cc91beaffc6b82e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count.\nSELECT \"work_type\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY \"row_count\" DESC;","notes":"Applies the Grouped Count by Category template with group_col bound to \"work_type\" on the single table \"m7\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f1fa913debaf0232491a1c15f385d94a97adf57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7820, "bytes_utf8": 7820, "lines": 238, "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": 536, "bytes_utf8": 536, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 13696, "output_tokens": 586, "reasoning_output_tokens": 431}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c90b588cdd6e8e9f2901eebcaf39e323076aa4f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7732d4812ba98e39", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 586, + "total_tokens": 14916, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12612.69, + "sql_execution_elapsed_ms_total": 7.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d716f1688ffc307a2618546621a50d7881bd8d05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:28.992902+00:00", + "ended_at": "2026-05-19T15:44:41.605632+00:00", + "elapsed_ms": 12612.69, + "prompt_metrics": { + "chars": 7820, + "bytes_utf8": 7820, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 909, + "bytes_utf8": 909, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 536, + "bytes_utf8": 536, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 586, + "reasoning_output_tokens": 431 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d493b00f1e19104d5efde9b8f3adff9de8ec07ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9876626c260c4babfff73001343af90ee7b42c4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-f441-7e80-9c5e-ef52b5c3cd9b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE \\\"id\\\" IS NOT NULL AND \\\"id\\\" <> ''\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with num_tiles=10 on \\\"id\\\". Because \\\"id\\\" is stored as TEXT in SQLite, the query casts it to REAL for numeric tail ordering and excludes empty values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14330,"cached_input_tokens":13696,"output_tokens":586,"reasoning_output_tokens":431}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b37d7b3d601cc30e040f94080b0f0cf0144c1181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"id\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE \"id\" IS NOT NULL AND \"id\" <> ''\n)\nSELECT \"id\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"id\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with num_tiles=10 on \"id\". Because \"id\" is stored as TEXT in SQLite, the query casts it to REAL for numeric tail ordering and excludes empty values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9abf1cc0e213cbb8936bdbe74c1d210ed8b2549d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7579, "bytes_utf8": 7579, "lines": 238, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 291, "bytes_utf8": 291, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14252, "cached_input_tokens": 12032, "output_tokens": 465, "reasoning_output_tokens": 391}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0bd669a758c47b554b74d5725111aee9fff764c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_77486b3268980bbe", + "api_calls": 0, + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 465, + "total_tokens": 14717, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13720.96, + "sql_execution_elapsed_ms_total": 1.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5d24d09c987c6f8fba7e24ea71db2cd4b7c46291 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:03.761858+00:00", + "ended_at": "2026-05-19T15:32:17.482842+00:00", + "elapsed_ms": 13720.96, + "prompt_metrics": { + "chars": 7579, + "bytes_utf8": 7579, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 645, + "bytes_utf8": 645, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 291, + "bytes_utf8": 291, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 465, + "reasoning_output_tokens": 391 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f3329f14cdf3ebf9c2341aad57c1b93c4de8802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Residence_type.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8991b666abe351bfd8b48ccb6e485c80c41892d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-9547-71e1-ae4a-de6c1d8579b0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Residence_type\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count by \\\"Residence_type\\\" to inspect subgroup size distribution using the required template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14252,"cached_input_tokens":12032,"output_tokens":465,"reasoning_output_tokens":391}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9c74ea8cedea68f246c87305fb908ded415f686 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Residence_type\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count by \"Residence_type\" to inspect subgroup size distribution using the required template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c98fc34809050feb20865d41717d996c24d4038f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:49.835550+00:00", + "ended_at": "2026-05-19T15:55:53.169189+00:00", + "elapsed_ms": 3333.62, + "returncode": 1, + "prompt_metrics": { + "chars": 7833, + "bytes_utf8": 7833, + "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_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bcea88f2e68c11787e3f80a0bc88622282f24b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:54.170600+00:00", + "ended_at": "2026-05-19T15:55:57.403985+00:00", + "elapsed_ms": 3233.36, + "returncode": 1, + "prompt_metrics": { + "chars": 7833, + "bytes_utf8": 7833, + "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_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea16a5d17445c52d031abd94713523d0252672ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea16a5d17445c52d031abd94713523d0252672ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..46554e62a30f304d7cf4b0861740c379753954a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-57cc-7500-9125-5a099f52a276"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..188c6f207a574cdf464f2aa9d848036662af97ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-57cc-7500-9125-5a099f52a276"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ecc6f12df81f79ffe0a3301b856a3e843b1fead --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-68ce-7b60-948b-2989dbb939b2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..21ebc1aeded09c4d2fbaf8b16fbe96aabf9a935e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-68ce-7b60-948b-2989dbb939b2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..df8aabec3b6eb3ee34e6226dd35171c8f61d7387 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8215, "bytes_utf8": 8215, "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": 787, "bytes_utf8": 787, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14415, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 359}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..65071d0380de4ce8b1ccc4e63faa826f09d692d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7f5aef48015d8ab3", + "api_calls": 0, + "input_tokens": 14415, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 14977, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12767.74, + "sql_execution_elapsed_ms_total": 3.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f11ce8387d9631a1dd21ffc81bfb805079530a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:26.223363+00:00", + "ended_at": "2026-05-19T15:48:38.991131+00:00", + "elapsed_ms": 12767.74, + "prompt_metrics": { + "chars": 8215, + "bytes_utf8": 8215, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1160, + "bytes_utf8": 1160, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 787, + "bytes_utf8": 787, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14415, + "cached_input_tokens": 12032, + "output_tokens": 562, + "reasoning_output_tokens": 359 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dd3799b92e74a2814a8adeb9c372ac855802a20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a77fef9df10dfd9fb99eedb39a3a0d4cc3d9e8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-9304-7430-b95d-9f5efbf24772"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n AND NULLIF(\\\"Residence_type\\\", '') IS NOT NULL\\n GROUP BY \\\"Residence_type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Residence_type\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned Relative-to-Total Extreme Threshold template with group_col=Residence_type and measure_col=age. Since \\\"age\\\" is stored as TEXT in this SQLite snapshot, the query casts non-blank values to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14415,"cached_input_tokens":12032,"output_tokens":562,"reasoning_output_tokens":359}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e656a44178778770e8f30bc298bce2def1420457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Residence_type\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS group_value\n FROM \"m7\"\n WHERE NULLIF(\"age\", '') IS NOT NULL\n AND NULLIF(\"Residence_type\", '') IS NOT NULL\n GROUP BY \"Residence_type\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Residence_type\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the planned Relative-to-Total Extreme Threshold template with group_col=Residence_type and measure_col=age. Since \"age\" is stored as TEXT in this SQLite snapshot, the query casts non-blank values to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36083834101a240548ea6c8ea591b41d5abcd1da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8212, "bytes_utf8": 8212, "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": 681, "bytes_utf8": 681, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 13696, "output_tokens": 693, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4108a7072399b9b42739c346a1ad6fff2c82d9d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_81c2f1cf295e25ee", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 693, + "total_tokens": 15106, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17091.56, + "sql_execution_elapsed_ms_total": 2.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f3e1112cadd12966bcf3fcb8e642f7415efdeaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:42.258313+00:00", + "ended_at": "2026-05-19T15:46:59.349918+00:00", + "elapsed_ms": 17091.56, + "prompt_metrics": { + "chars": 8212, + "bytes_utf8": 8212, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1052, + "bytes_utf8": 1052, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 681, + "bytes_utf8": 681, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 693, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4bc53c2836bfebd632fb878f2c5944b1c6551687 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "hypertension", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..49be889a08b4f7b816bb13933a13e77be59d9051 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-fd61-70f2-a9cb-949168108c05"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"hypertension\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"hypertension\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"hypertension\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". Since \\\"age\\\" is stored as TEXT in SQLite, the query casts non-empty values to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14413,"cached_input_tokens":13696,"output_tokens":693,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3301b14ab0ee36ba055adfad4405c2bbcc1824c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"hypertension\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"hypertension\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"hypertension\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"hypertension\" and measure_col=\"age\". Since \"age\" is stored as TEXT in SQLite, the query casts non-empty values to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f211d2cb19719d20ae26e09a5205b381c8e3be37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7643, "bytes_utf8": 7643, "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": 448, "bytes_utf8": 448, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14276, "cached_input_tokens": 13696, "output_tokens": 382, "reasoning_output_tokens": 259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c7e0d283bde1b018b6689661d2486ce848245e70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_8365ac699e415bc8", + "api_calls": 0, + "input_tokens": 14276, + "cached_input_tokens": 13696, + "output_tokens": 382, + "total_tokens": 14658, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10129.04, + "sql_execution_elapsed_ms_total": 2.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f14ab42c147b99a71d597d7be7c09093ef6caaad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:09.554654+00:00", + "ended_at": "2026-05-19T15:31:19.683730+00:00", + "elapsed_ms": 10129.04, + "prompt_metrics": { + "chars": 7643, + "bytes_utf8": 7643, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 814, + "bytes_utf8": 814, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 448, + "bytes_utf8": 448, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14276, + "cached_input_tokens": 13696, + "output_tokens": 382, + "reasoning_output_tokens": 259 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae9630cb3691f81fd2ae8b434862bfba186c6151 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0277e097d7396ab6f8b4e7121acfd08f225b745e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-c18e-7473-98d6-b55a3529fe58"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, NULLIF(..., '') excludes missing values and CAST(... AS REAL) makes the sum SQLite-compatible.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14276,"cached_input_tokens":13696,"output_tokens":382,"reasoning_output_tokens":259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6030ec42176a4b7fef6a712b2c37edc8e1d6f7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"stroke\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the planned grouped-sum template with group_col=\"stroke\" and measure_col=\"bmi\". Since \"bmi\" is stored as TEXT and may contain empty strings, NULLIF(..., '') excludes missing values and CAST(... AS REAL) makes the sum SQLite-compatible."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e35524d7dea41678d855c33148f10e5ca23313a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "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": 7584, "bytes_utf8": 7584, "lines": 238, "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": 335, "bytes_utf8": 335, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14266, "cached_input_tokens": 13696, "output_tokens": 289, "reasoning_output_tokens": 188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4f1438953663072bc824c7023a20f93dd8abf87b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_844b89dbeabe8f54", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 13696, + "output_tokens": 289, + "total_tokens": 14555, + "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": 11029.21, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4817fb1ad101fbf5340510b0c6c710b2733ea5c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:13.342979+00:00", + "ended_at": "2026-05-19T16:03:16.413032+00:00", + "elapsed_ms": 3070.01, + "returncode": 1, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "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_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70ed8b9ca3549553735e7a22adb767fe3e9f33ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:17.415235+00:00", + "ended_at": "2026-05-19T16:03:25.374482+00:00", + "elapsed_ms": 7959.2, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 679, + "bytes_utf8": 679, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 335, + "bytes_utf8": 335, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14266, + "cached_input_tokens": 13696, + "output_tokens": 289, + "reasoning_output_tokens": 188 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8aaeb48e208ec3eb0854efcb3b2bc4f341c071fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8aaeb48e208ec3eb0854efcb3b2bc4f341c071fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..370fdda3f1d98d081328143529b93f97a5a8bfab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-1c4c-79e2-b5fc-c70299776050"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29c103cc3fc24f15382e7c29aa19cfe80b704fa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-1c4c-79e2-b5fc-c70299776050"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..612d95cbe6ef067a487bf14ca9e86bf8bf44fc96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-2c3e-7a42-b975-a7fdf71d856f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"age\\\" AS REAL) <= 61.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"age\\\" and threshold 61.0. CAST to REAL is used because the schema stores age as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14266,"cached_input_tokens":13696,"output_tokens":289,"reasoning_output_tokens":188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ffd1ea01aaf958d7b2ca869d05ed43cc113caca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"age\" AS REAL) <= 61.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"age\" and threshold 61.0. CAST to REAL is used because the schema stores age as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1e909ac84193e246c5f1185cccc85e049cb25688 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:10.966375+00:00", + "ended_at": "2026-05-19T16:08:14.375947+00:00", + "elapsed_ms": 3409.54, + "returncode": 1, + "prompt_metrics": { + "chars": 7737, + "bytes_utf8": 7737, + "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_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f740a1f6c02ee482bc9ddb10694aa26dd6a13e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:15.378292+00:00", + "ended_at": "2026-05-19T16:08:18.692743+00:00", + "elapsed_ms": 3314.4, + "returncode": 1, + "prompt_metrics": { + "chars": 7737, + "bytes_utf8": 7737, + "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_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4de8a419750c4836d4dae849d8b2c6a782533d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4de8a419750c4836d4dae849d8b2c6a782533d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8df7179a8988bac56611f6d2fae803c823244c14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a6d0-77f2-8fb9-4427dc89cf83"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..23ed81903051199b926900d5e574ec51bcbf47d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a6d0-77f2-8fb9-4427dc89cf83"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..41a818d53395751991c5ab5ab2bbd72f414d6688 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b80b-7441-9004-4e4e946967fb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..413323741328ad5db4165fee2e1dc02d7dd6b6ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b80b-7441-9004-4e4e946967fb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bd46fbf25b9040a327aa18de8aec71da9ef326ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:12.924945+00:00", + "ended_at": "2026-05-19T16:01:17.065671+00:00", + "elapsed_ms": 4140.7, + "returncode": 1, + "prompt_metrics": { + "chars": 7954, + "bytes_utf8": 7954, + "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_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2abd8c7e87da8d808c394795135e227eca20ec2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:18.067251+00:00", + "ended_at": "2026-05-19T16:01:20.931868+00:00", + "elapsed_ms": 2864.59, + "returncode": 1, + "prompt_metrics": { + "chars": 7954, + "bytes_utf8": 7954, + "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_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c64f9ac66d45312419715ee5e22e718704d2787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoking_status, condition_col=smoking_status.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoking_status", + "condition_col": "smoking_status", + "condition_value": "Unknown", + "positive_value": "never smoked", + "negative_value": "Unknown", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c64f9ac66d45312419715ee5e22e718704d2787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoking_status, condition_col=smoking_status.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoking_status", + "condition_col": "smoking_status", + "condition_value": "Unknown", + "positive_value": "never smoked", + "negative_value": "Unknown", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c32b5278c23626d48df20c3ebc16f0d02a883c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-45d7-7011-ad46-8c86c4d7791b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..faca8fbf89ead90b0d295b61b4a933c7643703ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-45d7-7011-ad46-8c86c4d7791b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1307b0d7340d3f7da363bdce8d5c21ec4e6b9743 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-5a1a-7670-adf4-83d47e6d9fbf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c1b6039222e60bca878ddc40f00ce50bd7c20dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-5a1a-7670-adf4-83d47e6d9fbf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd3bd60c95ed4178ccaf04f2ef4cb2ad3e50b89e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7651, "bytes_utf8": 7651, "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": 442, "bytes_utf8": 442, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 12032, "output_tokens": 278, "reasoning_output_tokens": 159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..59b1281a6410562b359e1214ba6544ecd588d3ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_960643dc7c813b1c", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 278, + "total_tokens": 14555, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8043.56, + "sql_execution_elapsed_ms_total": 2.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..169b601184c4446ab5d18744c3678e0f13d47a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:38.109768+00:00", + "ended_at": "2026-05-19T15:29:46.153366+00:00", + "elapsed_ms": 8043.56, + "prompt_metrics": { + "chars": 7651, + "bytes_utf8": 7651, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 800, + "bytes_utf8": 800, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 442, + "bytes_utf8": 442, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 278, + "reasoning_output_tokens": 159 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28fe41bfa3b8d0625d17124b48c9dbc6adee934f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe0e60184871cdddc87561d1f9002bf7c8cd058a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-5c5d-75e2-9d33-6f9cb0d844ec"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"work_type\\\", SUM(CAST(NULLIF(\\\"id\\\", '') AS NUMERIC)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col bound to \\\"work_type\\\" and measure_col bound to \\\"id\\\". Because \\\"id\\\" is stored as TEXT in SQLite, the query casts it to NUMERIC and treats empty strings as NULL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":12032,"output_tokens":278,"reasoning_output_tokens":159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..357a2a159863f51dbad9b7e50f450d6fefa3c869 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"work_type\", SUM(CAST(NULLIF(\"id\", '') AS NUMERIC)) AS total_measure\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col bound to \"work_type\" and measure_col bound to \"id\". Because \"id\" is stored as TEXT in SQLite, the query casts it to NUMERIC and treats empty strings as NULL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..271c40598f3617585a27c3a2c949834ae3596cc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8199, "bytes_utf8": 8199, "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": 608, "bytes_utf8": 608, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14411, "cached_input_tokens": 13696, "output_tokens": 549, "reasoning_output_tokens": 389}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aae28abc451b8f4afc253e5aa8d2d2dc6121ef4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9898c8838ce70fc6", + "api_calls": 0, + "input_tokens": 14411, + "cached_input_tokens": 13696, + "output_tokens": 549, + "total_tokens": 14960, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12509.21, + "sql_execution_elapsed_ms_total": 2.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b9c0ab64b7a4228080c09a7841ee80e96b7a67e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:41.643709+00:00", + "ended_at": "2026-05-19T15:49:54.152941+00:00", + "elapsed_ms": 12509.21, + "prompt_metrics": { + "chars": 8199, + "bytes_utf8": 8199, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 983, + "bytes_utf8": 983, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 608, + "bytes_utf8": 608, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14411, + "cached_input_tokens": 13696, + "output_tokens": 549, + "reasoning_output_tokens": 389 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..93c2c46cf6db52cfddd1ba5ff3b821b7cdee471a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "gender", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb5664577f9ab419a70937c9e66febbdcbe80084 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-b991-7880-92c8-4f2165e73386"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"gender\\\", COUNT(\\\"id\\\") AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"gender\\\" and adapted measure_col=\\\"id\\\" to COUNT(\\\"id\\\") to match the stated count_distribution role, since \\\"id\\\" is an identifier-like TEXT field.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14411,"cached_input_tokens":13696,"output_tokens":549,"reasoning_output_tokens":389}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ac9ac798be903630cd871e8df18ead3bcc2f8d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"gender\", COUNT(\"id\") AS group_value\n FROM \"m7\"\n GROUP BY \"gender\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"gender\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the requested template with group_col=\"gender\" and adapted measure_col=\"id\" to COUNT(\"id\") to match the stated count_distribution role, since \"id\" is an identifier-like TEXT field."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74f55e334c6a2fc29e8ae6ba37fcf8653f7d8ac0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8048, "bytes_utf8": 8048, "lines": 242, "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": 593, "bytes_utf8": 593, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14392, "cached_input_tokens": 13696, "output_tokens": 692, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..75ccffd71cd364ce8dc6219c32bdbc0d8bd4947e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9a9b7d94d35e5210", + "api_calls": 0, + "input_tokens": 14392, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15084, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14244.74, + "sql_execution_elapsed_ms_total": 11.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fcff047de18a331dcadfb8381496b67c115cd26e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:01.486404+00:00", + "ended_at": "2026-05-19T15:38:15.731184+00:00", + "elapsed_ms": 14244.74, + "prompt_metrics": { + "chars": 8048, + "bytes_utf8": 8048, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 980, + "bytes_utf8": 980, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 593, + "bytes_utf8": 593, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14392, + "cached_input_tokens": 13696, + "output_tokens": 692, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1acc020bd0e0a677b5e61a8e16ac8dd03afeec2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. 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": 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": 48651.76, + "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_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0b44f43f27c80f527c27957178fa32f5e2ed7ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-0a9b-7d31-ac51-612dd1f71f22"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gender\\\",\\n \\\"age\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"gender\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". Because \\\"id\\\" is stored as TEXT, it is cast to REAL for SUM(), and empty strings are ignored via NULLIF.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14392,"cached_input_tokens":13696,"output_tokens":692,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d60f85e8c7404bdb720fac6551f14c6db9d89c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"gender\",\n \"age\",\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"id\", '') AS REAL))) OVER (PARTITION BY \"gender\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"gender\", \"age\"\nORDER BY share_within_group DESC;","notes":"Applied the provided template with group_col=\"gender\", item_col=\"age\", and measure_col=\"id\". Because \"id\" is stored as TEXT, it is cast to REAL for SUM(), and empty strings are ignored via NULLIF."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e6594042298928038814a03f11e7c784dbebbfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7841, "bytes_utf8": 7841, "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": 1845, "bytes_utf8": 1845, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 2665, "reasoning_output_tokens": 2066}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b17c3ae9033d65e300a63e06517e1541d6f61dc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9bb6bd2ba43e899c", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 2665, + "total_tokens": 16980, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 41742.03, + "sql_execution_elapsed_ms_total": 23.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec1e4ac5c70a8711d80f0997f4dd03da43dd3c03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:15.660798+00:00", + "ended_at": "2026-05-19T15:52:57.402860+00:00", + "elapsed_ms": 41742.03, + "prompt_metrics": { + "chars": 7841, + "bytes_utf8": 7841, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2460, + "bytes_utf8": 2460, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1845, + "bytes_utf8": 1845, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 2665, + "reasoning_output_tokens": 2066 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f8c1aeb5cb83d4430cad9a19a275075a96687fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Residence_type", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ae486a838181e825f34c6d70bf9d3ee9c87ff98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-1346-7f93-ad35-d472ee02d783"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"row_num\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"Residence_type\\\",\\n (0.95 * (\\\"n\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER) AS \\\"lower_row\\\",\\n CASE\\n WHEN ((0.95 * (\\\"n\\\" - 1)) + 1.0) = CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER)\\n THEN CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_row\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Residence_type\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_row\\\",\\n p.\\\"upper_row\\\",\\n lo.\\\"age_value\\\" AS \\\"lower_value\\\",\\n hi.\\\"age_value\\\" AS \\\"upper_value\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"Residence_type\\\" = p.\\\"Residence_type\\\"\\n AND lo.\\\"row_num\\\" = p.\\\"lower_row\\\"\\n JOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"Residence_type\\\" = p.\\\"Residence_type\\\"\\n AND hi.\\\"row_num\\\" = p.\\\"upper_row\\\"\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n CASE\\n WHEN \\\"lower_row\\\" = \\\"upper_row\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_row\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.95) for \\\"age\\\" within each \\\"Residence_type\\\" group, using window functions and linear interpolation. \\\"age\\\" is cast from TEXT to REAL, and blank values are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":13696,"output_tokens":2665,"reasoning_output_tokens":2066}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83569e659577dbbef9b43b482208dc933d93217e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Residence_type\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"row_num\",\n COUNT(*) OVER (\n PARTITION BY \"Residence_type\"\n ) AS \"n\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\n),\n\"params\" AS (\n SELECT DISTINCT\n \"Residence_type\",\n (0.95 * (\"n\" - 1)) + 1.0 AS \"pos\",\n CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER) AS \"lower_row\",\n CASE\n WHEN ((0.95 * (\"n\" - 1)) + 1.0) = CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER)\n THEN CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER)\n ELSE CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER) + 1\n END AS \"upper_row\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"Residence_type\",\n p.\"pos\",\n p.\"lower_row\",\n p.\"upper_row\",\n lo.\"age_value\" AS \"lower_value\",\n hi.\"age_value\" AS \"upper_value\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS lo\n ON lo.\"Residence_type\" = p.\"Residence_type\"\n AND lo.\"row_num\" = p.\"lower_row\"\n JOIN \"ordered\" AS hi\n ON hi.\"Residence_type\" = p.\"Residence_type\"\n AND hi.\"row_num\" = p.\"upper_row\"\n)\nSELECT\n \"Residence_type\",\n CASE\n WHEN \"lower_row\" = \"upper_row\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_row\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.95) for \"age\" within each \"Residence_type\" group, using window functions and linear interpolation. \"age\" is cast from TEXT to REAL, and blank values are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1bf0f2337e20e4d075b934d91d71a3bf5f4b816f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:50.884083+00:00", + "ended_at": "2026-05-19T16:08:53.831940+00:00", + "elapsed_ms": 2947.83, + "returncode": 1, + "prompt_metrics": { + "chars": 7742, + "bytes_utf8": 7742, + "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_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b01fbfc89f9149935f6f2c41dce8c496b2f26c82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:54.833462+00:00", + "ended_at": "2026-05-19T16:08:58.125875+00:00", + "elapsed_ms": 3292.38, + "returncode": 1, + "prompt_metrics": { + "chars": 7742, + "bytes_utf8": 7742, + "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_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5058b07b4c697801cb8304c3c4dd949754740c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5058b07b4c697801cb8304c3c4dd949754740c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dacf808efffde73bc300212b38279e539b38249 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-42c3-7bf1-b389-205003da82d2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edb1bccdd77ed980f799b0d86fb02e7d4577e5cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-42c3-7bf1-b389-205003da82d2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcfcc8aa28f3a50ac832fae6e1ad91081bd92e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5247-7c73-8c09-9e5eeff44e26"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3a393d241af0ef861e9dbf237da50c87ab238e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5247-7c73-8c09-9e5eeff44e26"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6896ea24a6cc772dcfc348bacc1880f08108e86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7820, "bytes_utf8": 7820, "lines": 238, "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": 474, "bytes_utf8": 474, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 13696, "output_tokens": 651, "reasoning_output_tokens": 506}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e4ff947313893ba43b3e44801f89f6fb1c0fc0f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9ef0dcf1d41d86d9", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 651, + "total_tokens": 14981, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21256.98, + "sql_execution_elapsed_ms_total": 15.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..504b43cb93b92676274e924b64e0e4c9c0728682 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:32.100681+00:00", + "ended_at": "2026-05-19T15:45:53.357696+00:00", + "elapsed_ms": 21256.98, + "prompt_metrics": { + "chars": 7820, + "bytes_utf8": 7820, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1520, + "bytes_utf8": 1520, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 474, + "bytes_utf8": 474, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 651, + "reasoning_output_tokens": 506 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2506b91902c5f81f6ea02d3dda0d390db57224d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb7728c6718e36c3018faf9b79c430e4067feb50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e9-ead6-7e11-93e2-256e73976804"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14965. Please try again in 448ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1992126, Requested 14965. Please try again in 212ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m7\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"id\\\" AS REAL) DESC;\",\"notes\":\"Applied the planned Quantile Tail Slice template on \\\"id\\\" with 10 tiles. \\\"id\\\" is stored as TEXT in the schema, so it is cast to REAL for numeric tail ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14330,"cached_input_tokens":13696,"output_tokens":651,"reasoning_output_tokens":506}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d6af8b385e82c88831d079ba5afdd76536c22d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"id\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m7\"\n)\nSELECT \"id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"id\" AS REAL) DESC;","notes":"Applied the planned Quantile Tail Slice template on \"id\" with 10 tiles. \"id\" is stored as TEXT in the schema, so it is cast to REAL for numeric tail ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6810b0805d23c293192d0305aa564d4797e7b5c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8486, "bytes_utf8": 8486, "lines": 243, "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": 759, "bytes_utf8": 759, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14492, "cached_input_tokens": 12032, "output_tokens": 466, "reasoning_output_tokens": 268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c4bba6a635f40abfb60f25e9877b6952d6a04cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_a9e4e642f46f1792", + "api_calls": 0, + "input_tokens": 14492, + "cached_input_tokens": 12032, + "output_tokens": 466, + "total_tokens": 14958, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12787.4, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..58753014ccc2bb0e5ea5d3ce11cdb20f5531a84c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:27.323677+00:00", + "ended_at": "2026-05-19T15:40:40.111098+00:00", + "elapsed_ms": 12787.4, + "prompt_metrics": { + "chars": 8486, + "bytes_utf8": 8486, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1124, + "bytes_utf8": 1124, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 759, + "bytes_utf8": 759, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14492, + "cached_input_tokens": 12032, + "output_tokens": 466, + "reasoning_output_tokens": 268 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef2c857820e63b41c669d45cb2fdc2aa19865bdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=heart_disease, condition_col=heart_disease.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "heart_disease", + "condition_col": "heart_disease", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..64b6ecdbdf08f0cb353eb9df249d817df4c9b190 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-4441-77c0-892b-9df0038ee636"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"heart_disease\\\",\\n SUM(CASE WHEN \\\"heart_disease\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"heart_disease\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT \\\"heart_disease\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the requested template with both group_col and condition_col bound to \\\"heart_disease\\\". Because the grouping and condition use the same binary column, one group will have a NULL ratio due to zero denominator and the other will have ratio 0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14492,"cached_input_tokens":12032,"output_tokens":466,"reasoning_output_tokens":268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43c83d948717c7363a069e425d2344fbc120064a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"heart_disease\",\n SUM(CASE WHEN \"heart_disease\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"heart_disease\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"heart_disease\"\n)\nSELECT \"heart_disease\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Used the requested template with both group_col and condition_col bound to \"heart_disease\". Because the grouping and condition use the same binary column, one group will have a NULL ratio due to zero denominator and the other will have ratio 0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..129cd565232c28c279017016d35a4111c4c20394 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8211, "bytes_utf8": 8211, "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": 778, "bytes_utf8": 778, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14415, "cached_input_tokens": 13696, "output_tokens": 653, "reasoning_output_tokens": 444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23428e097ead584153323c77409a4d57cf1ff850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b084a117851d0619", + "api_calls": 0, + "input_tokens": 14415, + "cached_input_tokens": 13696, + "output_tokens": 653, + "total_tokens": 15068, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16255.2, + "sql_execution_elapsed_ms_total": 6.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a4ad50925c6627a777c39a5765ff8573033f5c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:25.987653+00:00", + "ended_at": "2026-05-19T15:46:42.242910+00:00", + "elapsed_ms": 16255.2, + "prompt_metrics": { + "chars": 8211, + "bytes_utf8": 8211, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1173, + "bytes_utf8": 1173, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 778, + "bytes_utf8": 778, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14415, + "cached_input_tokens": 13696, + "output_tokens": 653, + "reasoning_output_tokens": 444 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8fc2e5a0ff45f510582a38e41abbc5e591d70c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "hypertension", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48574139255c3bb78078fad343997bd01b73729e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-bd4a-7111-8654-7394a4a252eb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"hypertension\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE \\\"hypertension\\\" IS NOT NULL\\n AND \\\"hypertension\\\" <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND \\\"age\\\" <> ''\\n GROUP BY \\\"hypertension\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"hypertension\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\"; casts \\\"age\\\" from TEXT to REAL and filters out blank/null values for stable aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14415,"cached_input_tokens":13696,"output_tokens":653,"reasoning_output_tokens":444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a169c2531fb96fc96eb3f15996de5d89dcdc477 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"hypertension\",\n SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m7\"\n WHERE \"hypertension\" IS NOT NULL\n AND \"hypertension\" <> ''\n AND \"age\" IS NOT NULL\n AND \"age\" <> ''\n GROUP BY \"hypertension\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"hypertension\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the requested template with group_col=\"hypertension\" and measure_col=\"age\"; casts \"age\" from TEXT to REAL and filters out blank/null values for stable aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e5ab33fafe54c6f8e145a38e05f2117cc71a7e52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8050, "bytes_utf8": 8050, "lines": 242, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 641, "bytes_utf8": 641, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14394, "cached_input_tokens": 12032, "output_tokens": 496, "reasoning_output_tokens": 311}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..efe437e670c942b3cfedbadedf144482c903c530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b0c227029fe102d1", + "api_calls": 0, + "input_tokens": 14394, + "cached_input_tokens": 12032, + "output_tokens": 496, + "total_tokens": 14890, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10922.86, + "sql_execution_elapsed_ms_total": 39.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ec85ad921b39360eb92f87f4500ae3ca8509124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:37.467524+00:00", + "ended_at": "2026-05-19T15:37:48.390422+00:00", + "elapsed_ms": 10922.86, + "prompt_metrics": { + "chars": 8050, + "bytes_utf8": 8050, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1030, + "bytes_utf8": 1030, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 641, + "bytes_utf8": 641, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14394, + "cached_input_tokens": 12032, + "output_tokens": 496, + "reasoning_output_tokens": 311 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cde382347cd7e1830b5192b75432bb0da64cbeef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "item_col": "id", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..98cc17299e55732220048788483f4ab4b3ca4902 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-acc7-7670-b2a5-3f18c54c3ffa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"stroke\\\", \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"stroke\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"stroke\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the bound template roles exactly: group_col=\\\"stroke\\\", item_col=\\\"id\\\", measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL and excluded empty-string BMI values so the aggregation is numeric and SQLite-safe.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14394,"cached_input_tokens":12032,"output_tokens":496,"reasoning_output_tokens":311}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9cde851c06e7783a8f6a22c092dda5f1e955f8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"stroke\", \"id\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"bmi\", '') AS REAL))) OVER (PARTITION BY \"stroke\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"stroke\", \"id\"\nORDER BY share_within_group DESC;","notes":"Used the bound template roles exactly: group_col=\"stroke\", item_col=\"id\", measure_col=\"bmi\". Cast \"bmi\" from TEXT to REAL and excluded empty-string BMI values so the aggregation is numeric and SQLite-safe."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4dbdc286bfc673c25a6f5a79a407f0e54ea927bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7586, "bytes_utf8": 7586, "lines": 238, "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": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14266, "cached_input_tokens": 13696, "output_tokens": 330, "reasoning_output_tokens": 224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bfd5e96365887d3d552c8d746e6eb66c8f8ac258 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b0ce2555f72257fa", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 13696, + "output_tokens": 330, + "total_tokens": 14596, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14926.75, + "sql_execution_elapsed_ms_total": 0.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae54a988cb103cb8f666763f8fe93e44849ba413 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:52.804711+00:00", + "ended_at": "2026-05-19T16:04:07.731487+00:00", + "elapsed_ms": 14926.75, + "prompt_metrics": { + "chars": 7586, + "bytes_utf8": 7586, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 697, + "bytes_utf8": 697, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 349, + "bytes_utf8": 349, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14266, + "cached_input_tokens": 13696, + "output_tokens": 330, + "reasoning_output_tokens": 224 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f547b16ca2c8ccc43fce4aa4879e61cf91c2f68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56bda3336b1666faefad5065389c3a4775c3b5a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b666-77a0-9109-d1ba8a073ac0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"id\\\" and threshold 54682.0. CAST is used because \\\"id\\\" is stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14266,"cached_input_tokens":13696,"output_tokens":330,"reasoning_output_tokens":224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d14a5b282473b353f1c8bf768f0909a8c9b7df0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"id\" and threshold 54682.0. CAST is used because \"id\" is stored as TEXT in the schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67ad278c5bcc9beaa9a8fe2a5fa1881156171537 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7837, "bytes_utf8": 7837, "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": 7837, "bytes_utf8": 7837, "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": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 1249, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c4cbb247346ccaa27b0883c26b36a29627ebcaa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b0e50969a4299845", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1249, + "total_tokens": 15564, + "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": 24644.28, + "sql_execution_elapsed_ms_total": 19.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed686a335d29dbeda19aeea059e45bbb4f164269 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:06.171514+00:00", + "ended_at": "2026-05-19T15:58:09.393087+00:00", + "elapsed_ms": 3221.55, + "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_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e9c06d5969528cecd5e7f4aa15f142bc68ec84e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:10.395140+00:00", + "ended_at": "2026-05-19T15:58:31.817918+00:00", + "elapsed_ms": 21422.73, + "prompt_metrics": { + "chars": 7837, + "bytes_utf8": 7837, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1172, + "bytes_utf8": 1172, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 753, + "bytes_utf8": 753, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1249, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..23370f89abacad11722fe3232d6009241c4ba31f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..23370f89abacad11722fe3232d6009241c4ba31f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Residence_type", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..43fe8484cb09968f8c7b0ca547f4b955569fb1d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-6c6f-7611-b423-fdf1dc6db7a1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..61367c6a78b6edb1ce5541f6d10bb007cb0bb4fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-6c6f-7611-b423-fdf1dc6db7a1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1391dc8d9dd47cdbbaea348447126d0e066ab69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-7d08-7bd0-ad6f-6a15fdeb0de7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND \\\"age\\\" <> ''\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible nearest-rank approximation of the 90th percentile with CUME_DIST(), casting \\\"age\\\" from TEXT to REAL and excluding blank ages.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":13696,"output_tokens":1249,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2e3bda4819514582053174977f237cc022636df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Residence_type\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n CUME_DIST() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"cum_dist\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL\n AND \"age\" <> ''\n)\nSELECT\n \"Residence_type\",\n MIN(\"age_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\nGROUP BY \"Residence_type\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible nearest-rank approximation of the 90th percentile with CUME_DIST(), casting \"age\" from TEXT to REAL and excluding blank ages."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9622dd5774cd9f04ad63a1b85844297e550260c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7647, "bytes_utf8": 7647, "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": 351, "bytes_utf8": 351, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14275, "cached_input_tokens": 13696, "output_tokens": 407, "reasoning_output_tokens": 307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4de3012402e9eae7752daed07554d5e273a9ba8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b2a16e0949f33414", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 13696, + "output_tokens": 407, + "total_tokens": 14682, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10344.73, + "sql_execution_elapsed_ms_total": 2.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..08bd9ff298e4181fe6bba622d00664c991ddd398 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:43.754456+00:00", + "ended_at": "2026-05-19T15:31:54.099212+00:00", + "elapsed_ms": 10344.73, + "prompt_metrics": { + "chars": 7647, + "bytes_utf8": 7647, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 717, + "bytes_utf8": 717, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 351, + "bytes_utf8": 351, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14275, + "cached_input_tokens": 13696, + "output_tokens": 407, + "reasoning_output_tokens": 307 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0de47158e72b512cdab86cdedf134c47d072d625 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "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_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fa4b2bc31282525c47e37ece35c22791dd2fb86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-4703-7d10-afbe-9f66e864f860"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the requested grouped-sum template with group_col=\\\"gender\\\" and measure_col=\\\"id\\\". CAST was added because \\\"id\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14275,"cached_input_tokens":13696,"output_tokens":407,"reasoning_output_tokens":307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e317192f79840cce01d6bf4632a14a2d935e05c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"gender\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"total_measure\" DESC;","notes":"Used the requested grouped-sum template with group_col=\"gender\" and measure_col=\"id\". CAST was added because \"id\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b229c8e79801b73abb0fbbd02fd75e47b197257 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7645, "bytes_utf8": 7645, "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": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14275, "cached_input_tokens": 13696, "output_tokens": 403, "reasoning_output_tokens": 296}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e65fe71da2e92f2c137a616a4005cf20fb94df38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b2b34b2af67ba04f", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 13696, + "output_tokens": 403, + "total_tokens": 14678, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9554.51, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..840c0478f659bfe7b6eeb76eda6fdd170af50a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:34.193851+00:00", + "ended_at": "2026-05-19T15:31:43.748391+00:00", + "elapsed_ms": 9554.51, + "prompt_metrics": { + "chars": 7645, + "bytes_utf8": 7645, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 752, + "bytes_utf8": 752, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14275, + "cached_input_tokens": 13696, + "output_tokens": 403, + "reasoning_output_tokens": 296 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee7951ce0edd24ab83f90e3eb823cc724c937618 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "gender", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76edca5703e4565003c5da857e6fb592b019f955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-21b5-7d61-9599-c503535d08fe"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"gender\\\" and measure_col=\\\"id\\\". CAST was added because \\\"id\\\" is stored as TEXT in the schema snapshot, and SQLite will then sum it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14275,"cached_input_tokens":13696,"output_tokens":403,"reasoning_output_tokens":296}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..68070252ca5a3cb8be1acc5901540509dfa67150 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum.\nSELECT \"gender\", SUM(CAST(\"id\" AS NUMERIC)) AS total_measure\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col=\"gender\" and measure_col=\"id\". CAST was added because \"id\" is stored as TEXT in the schema snapshot, and SQLite will then sum it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d7839ae43180d59ab53c7047f25234accdd55b82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8211, "bytes_utf8": 8211, "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": 912, "bytes_utf8": 912, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14415, "cached_input_tokens": 13696, "output_tokens": 527, "reasoning_output_tokens": 267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..619eba5fef2ce94cc44a749f40a4c979f7b63228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b511c43b0b93626a", + "api_calls": 0, + "input_tokens": 14415, + "cached_input_tokens": 13696, + "output_tokens": 527, + "total_tokens": 14942, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11879.58, + "sql_execution_elapsed_ms_total": 3.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..50418a22dca18600649b7cd051bf5032b75345f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:07.843906+00:00", + "ended_at": "2026-05-19T15:50:19.723515+00:00", + "elapsed_ms": 11879.58, + "prompt_metrics": { + "chars": 8211, + "bytes_utf8": 8211, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1366, + "bytes_utf8": 1366, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 912, + "bytes_utf8": 912, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14415, + "cached_input_tokens": 13696, + "output_tokens": 527, + "reasoning_output_tokens": 267 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..395278ad72b980f72932bebbce9ee1ac5ea3a6be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e266c7763767456b0079721ae10f629d3c4a12a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-1ff0-7403-8694-f39348101712"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"hypertension\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(TRIM(\\\"hypertension\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"age\\\"), '') IS NOT NULL\\n), \\\"grouped\\\" AS (\\n SELECT \\\"hypertension\\\", SUM(\\\"age\\\") AS \\\"group_value\\\"\\n FROM \\\"filtered\\\"\\n GROUP BY \\\"hypertension\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"hypertension\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". Because \\\"age\\\" is stored as TEXT in the schema snapshot, the query casts it to REAL and filters out blank values for stable aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14415,"cached_input_tokens":13696,"output_tokens":527,"reasoning_output_tokens":267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..36acbc495668506615e9a57ce59134a76cb81600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"filtered\" AS (\n SELECT\n \"hypertension\",\n CAST(\"age\" AS REAL) AS \"age\"\n FROM \"m7\"\n WHERE NULLIF(TRIM(\"hypertension\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"age\"), '') IS NOT NULL\n), \"grouped\" AS (\n SELECT \"hypertension\", SUM(\"age\") AS \"group_value\"\n FROM \"filtered\"\n GROUP BY \"hypertension\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"hypertension\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the requested template with group_col=\"hypertension\" and measure_col=\"age\". Because \"age\" is stored as TEXT in the schema snapshot, the query casts it to REAL and filters out blank values for stable aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6064298d4c9c38c19b9d14775ef673a38aaf2da9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:27.821580+00:00", + "ended_at": "2026-05-19T16:07:31.288751+00:00", + "elapsed_ms": 3467.14, + "returncode": 1, + "prompt_metrics": { + "chars": 7777, + "bytes_utf8": 7777, + "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_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6fdb295aa77c7971231d856f49c2da4b67d0c22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:32.291009+00:00", + "ended_at": "2026-05-19T16:07:35.170537+00:00", + "elapsed_ms": 2879.48, + "returncode": 1, + "prompt_metrics": { + "chars": 7777, + "bytes_utf8": 7777, + "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_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e0f5a285945ed227ba09fb5c62b2c2af90977be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e0f5a285945ed227ba09fb5c62b2c2af90977be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee1eb6c19efab0d176f62eb39737f07f82b0a608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-fe54-7fb3-a33f-b10db89b8418"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86757b3671e8bbac3926cf18d22414410f8e152f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-fe54-7fb3-a33f-b10db89b8418"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d07b3f648e2473facc47c0fa3d21f2f025d845fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-0fc0-7163-84a8-f0fd09455e08"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..810a90b278a70eaa0fcfebfd1b810c26eb242c1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-0fc0-7163-84a8-f0fd09455e08"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2586e7280d269e06bd80f000edbc7283c8117bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7825, "bytes_utf8": 7825, "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": 7825, "bytes_utf8": 7825, "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": 1654, "bytes_utf8": 1654, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14313, "cached_input_tokens": 13696, "output_tokens": 1106, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae89bdb84b3b38dca76150fc934070fd6f4a3114 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b6f9cc6b7d0f650f", + "api_calls": 0, + "input_tokens": 14313, + "cached_input_tokens": 13696, + "output_tokens": 1106, + "total_tokens": 15419, + "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": 22822.87, + "sql_execution_elapsed_ms_total": 24.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e9a1521740ed8686f0fc22fe72370e600bfa9918 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:25.981063+00:00", + "ended_at": "2026-05-19T15:55:29.182815+00:00", + "elapsed_ms": 3201.73, + "returncode": 1, + "prompt_metrics": { + "chars": 7825, + "bytes_utf8": 7825, + "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_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..86716c02cbba3b0611b28b5259a01501cb017937 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:30.184927+00:00", + "ended_at": "2026-05-19T15:55:49.806127+00:00", + "elapsed_ms": 19621.14, + "prompt_metrics": { + "chars": 7825, + "bytes_utf8": 7825, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2283, + "bytes_utf8": 2283, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1654, + "bytes_utf8": 1654, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14313, + "cached_input_tokens": 13696, + "output_tokens": 1106, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee98a7327f6bb79237d2db28126e3782b1d5e86a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 48651.76, + "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_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee98a7327f6bb79237d2db28126e3782b1d5e86a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 48651.76, + "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_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ebc589e56c7e78a58839041732ca0afb167e672 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-faac-7d21-9c3e-d9bb1e8fdad2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cb45fde7d24f4603f4c8bdb6f9cde533d074afb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-faac-7d21-9c3e-d9bb1e8fdad2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0a53e4c9a55f6f9246c8dac9e81ec94cda4941c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-0b0b-78a1-b405-195bcc95c933"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"gender\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"id\\\" IS NOT NULL\\n AND \\\"id\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"gender\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"gender\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"gender\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"gender\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) + (((1.0 + 0.9 * (\\\"n\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER))) AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"hi_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"gender\\\" = p.\\\"gender\\\"\\n GROUP BY\\n p.\\\"gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"gender\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + ((\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 continuous percentile per \\\"gender\\\" using window functions and linear interpolation over CAST(\\\"id\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14313,"cached_input_tokens":13696,"output_tokens":1106,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a62d096b099ebc8f2184d59fc4b460d76bc493db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"gender\",\n CAST(\"id\" AS REAL) AS \"measure\"\n FROM \"m7\"\n WHERE \"id\" IS NOT NULL\n AND \"id\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"gender\",\n \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"gender\"\n ORDER BY \"measure\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"gender\"\n ) AS \"n\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"gender\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) AS \"lo_rn\",\n CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) + (((1.0 + 0.9 * (\"n\" - 1)) > CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER))) AS \"hi_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n p.\"gender\",\n p.\"pos\",\n p.\"lo_rn\",\n p.\"hi_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lo_rn\" THEN r.\"measure\" END) AS \"lo_val\",\n MAX(CASE WHEN r.\"rn\" = p.\"hi_rn\" THEN r.\"measure\" END) AS \"hi_val\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS r\n ON r.\"gender\" = p.\"gender\"\n GROUP BY\n p.\"gender\",\n p.\"pos\",\n p.\"lo_rn\",\n p.\"hi_rn\"\n)\nSELECT\n \"gender\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n ELSE \"lo_val\" + ((\"pos\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 continuous percentile per \"gender\" using window functions and linear interpolation over CAST(\"id\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..831afc5cdc1dbfcf03da219ffb34f348a2db144f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8212, "bytes_utf8": 8212, "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": 667, "bytes_utf8": 667, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14416, "cached_input_tokens": 13696, "output_tokens": 677, "reasoning_output_tokens": 503}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c6b7d7ae7d02359b8ca3b1a58c3ae0f1f18cd9a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b869a583d129662d", + "api_calls": 0, + "input_tokens": 14416, + "cached_input_tokens": 13696, + "output_tokens": 677, + "total_tokens": 15093, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17974.31, + "sql_execution_elapsed_ms_total": 2.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..40c69b5779a1fe9a73420497b8e5ea84c8344558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:43.002228+00:00", + "ended_at": "2026-05-19T15:48:00.976577+00:00", + "elapsed_ms": 17974.31, + "prompt_metrics": { + "chars": 8212, + "bytes_utf8": 8212, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1363, + "bytes_utf8": 1363, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 667, + "bytes_utf8": 667, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14416, + "cached_input_tokens": 13696, + "output_tokens": 677, + "reasoning_output_tokens": 503 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbd97d0ca06139562ce8149c3871ee12f6f2d13e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f99eb5863e0177028abe800adc748f6943bfbaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40eb-ea6e-7af0-9dab-d70566e45880"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15051. Please try again in 451ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"ever_married\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"ever_married\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided relative-to-total threshold template with group_col=\\\"ever_married\\\" and bmi as the measure, casting BMI from TEXT to REAL and treating empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14416,"cached_input_tokens":13696,"output_tokens":677,"reasoning_output_tokens":503}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6926b47d875493561e8f2e407d04324a89cbe442 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"ever_married\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"ever_married\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"ever_married\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the provided relative-to-total threshold template with group_col=\"ever_married\" and bmi as the measure, casting BMI from TEXT to REAL and treating empty strings as NULL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6934039ceebcc75c249ca2efb0e470f09016b26e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7690, "bytes_utf8": 7690, "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": 434, "bytes_utf8": 434, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14285, "cached_input_tokens": 12032, "output_tokens": 320, "reasoning_output_tokens": 209}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a0ffd5b2860eba97a6f6e21e389cd8b32f28e1f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b9322ee50fb4cf81", + "api_calls": 0, + "input_tokens": 14285, + "cached_input_tokens": 12032, + "output_tokens": 320, + "total_tokens": 14605, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8846.76, + "sql_execution_elapsed_ms_total": 4.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..07b0ebe90167737a21d35ff26bd9e1ae351bcfa4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:44.751832+00:00", + "ended_at": "2026-05-19T15:30:53.598621+00:00", + "elapsed_ms": 8846.76, + "prompt_metrics": { + "chars": 7690, + "bytes_utf8": 7690, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 788, + "bytes_utf8": 788, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 434, + "bytes_utf8": 434, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14285, + "cached_input_tokens": 12032, + "output_tokens": 320, + "reasoning_output_tokens": 209 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87d4f31bc9ed30726cd8292ee69df064bd317fa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..732c83270be7cc54d3605c342c9d7db5e58bec4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-609e-7ce3-8d45-091f8683c0ab"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". Casts the TEXT measure to REAL and treats empty strings as NULL for SQLite compatibility.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14285,"cached_input_tokens":12032,"output_tokens":320,"reasoning_output_tokens":209}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d68a58eb2ad1b0f374e653f20fc3e1f92b11f886 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"smoking_status\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY total_measure DESC;","notes":"Uses the requested grouped numeric sum template with group_col=\"smoking_status\" and measure_col=\"avg_glucose_level\". Casts the TEXT measure to REAL and treats empty strings as NULL for SQLite compatibility."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4509f80917cf0becd439afc497367b462c247335 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7646, "bytes_utf8": 7646, "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": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14276, "cached_input_tokens": 12032, "output_tokens": 337, "reasoning_output_tokens": 232}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..edce26fa6a8313edd244923658075a6c53316817 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b9a7502e5a951249", + "api_calls": 0, + "input_tokens": 14276, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 14613, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14491.29, + "sql_execution_elapsed_ms_total": 4.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb6a12bb954bd6a1572e8d6a970b3c35653f0b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:19.691980+00:00", + "ended_at": "2026-05-19T15:31:34.183318+00:00", + "elapsed_ms": 14491.29, + "prompt_metrics": { + "chars": 7646, + "bytes_utf8": 7646, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1072, + "bytes_utf8": 1072, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 377, + "bytes_utf8": 377, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14276, + "cached_input_tokens": 12032, + "output_tokens": 337, + "reasoning_output_tokens": 232 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7b321c27861423a90a26bf09144b1d19baa63b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ff8ff8c23a15cff5e4e496505ca99f32e5bd0c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-e924-7b50-bf5d-1ea93874afde"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1997673, Requested 14911. Please try again in 377ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Used NULLIF + CAST to handle empty-string BMI values stored in TEXT before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14276,"cached_input_tokens":12032,"output_tokens":337,"reasoning_output_tokens":232}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7a6cc376d76b3db22770d73ceea6601b8ddb812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"stroke\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with group_col=\"stroke\" and measure_col=\"bmi\". Used NULLIF + CAST to handle empty-string BMI values stored in TEXT before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85ec95f1ff8a88839725aa30579860b5f3bf19b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7867, "bytes_utf8": 7867, "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": 1071, "bytes_utf8": 1071, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14323, "cached_input_tokens": 13696, "output_tokens": 1798, "reasoning_output_tokens": 1483}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..39cf8f2a67e09113dc44dd903db3d9e759e5bd8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ba2eee026ced1030", + "api_calls": 0, + "input_tokens": 14323, + "cached_input_tokens": 13696, + "output_tokens": 1798, + "total_tokens": 16121, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32207.37, + "sql_execution_elapsed_ms_total": 18.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..110e8943d8844ea10af416653ca9f57b003dbcb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:21.160363+00:00", + "ended_at": "2026-05-19T15:56:53.367781+00:00", + "elapsed_ms": 32207.37, + "prompt_metrics": { + "chars": 7867, + "bytes_utf8": 7867, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1528, + "bytes_utf8": 1528, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1071, + "bytes_utf8": 1071, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14323, + "cached_input_tokens": 13696, + "output_tokens": 1798, + "reasoning_output_tokens": 1483 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b546ab3efbd9d2148d1f07428e948e1b1e0f102d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f216af14b6278311f00e9131323334c5e7933468 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-d24f-7512-ae65-42bde94e22a7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"heart_disease\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"heart_disease\\\"\\n ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"heart_disease\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"heart_disease\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND TRIM(\\\"avg_glucose_level\\\") <> ''\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"heart_disease\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST(((\\\"cnt\\\" * 95) + 99) / 100 AS INTEGER)\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per heart_disease via window functions. avg_glucose_level is cast from TEXT to REAL, and blank values are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14323,"cached_input_tokens":13696,"output_tokens":1798,"reasoning_output_tokens":1483}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cccb5eff68fd1869dcb4aa0e2208f355126c7be7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"heart_disease\",\n CAST(\"avg_glucose_level\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"heart_disease\"\n ORDER BY CAST(\"avg_glucose_level\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"heart_disease\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"heart_disease\" IS NOT NULL\n AND \"avg_glucose_level\" IS NOT NULL\n AND TRIM(\"avg_glucose_level\") <> ''\n),\n\"picked\" AS (\n SELECT\n \"heart_disease\",\n MIN(\"measure_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" >= CAST(((\"cnt\" * 95) + 99) / 100 AS INTEGER)\n GROUP BY \"heart_disease\"\n)\nSELECT\n \"heart_disease\",\n \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per heart_disease via window functions. avg_glucose_level is cast from TEXT to REAL, and blank values are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..659e030818278397de277e3a306bf76f3811332d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:50.901959+00:00", + "ended_at": "2026-05-19T16:06:54.056671+00:00", + "elapsed_ms": 3154.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7737, + "bytes_utf8": 7737, + "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_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cbaaa844b4128a402264cd1ab904f652e234bdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:55.058985+00:00", + "ended_at": "2026-05-19T16:06:58.257728+00:00", + "elapsed_ms": 3198.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7737, + "bytes_utf8": 7737, + "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_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cbc76cdc67e433695d00b453dab820c00d6f93b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "work_type", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cbc76cdc67e433695d00b453dab820c00d6f93b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "work_type", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ba61cd2d1fbc0b10d5aa8ed8172b7aba81a221d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6e13-7603-b3ef-5ce6da76995f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2c94b131ac8ecdae3f9068f1a52dbc842aad640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6e13-7603-b3ef-5ce6da76995f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b2fa234eabb20c59bf2ee7c8d2682231ae1db48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-7e5f-70e1-8d78-e0bcc33546aa"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18a272abc4542c91e5c8200d802ac99adb1e401a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-7e5f-70e1-8d78-e0bcc33546aa"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15eb6d43f33341425c44d617a2cbffca595ac483 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8212, "bytes_utf8": 8212, "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": 714, "bytes_utf8": 714, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 13696, "output_tokens": 724, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bcfc7d501cdd14a9efe6fd87ba5aa782ece080d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_bb835f8f4ef24bcb", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 724, + "total_tokens": 15137, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13969.94, + "sql_execution_elapsed_ms_total": 2.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70b8c2763736083be1ab917ae92707514047bfc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:19.732208+00:00", + "ended_at": "2026-05-19T15:50:33.702171+00:00", + "elapsed_ms": 13969.94, + "prompt_metrics": { + "chars": 8212, + "bytes_utf8": 8212, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1161, + "bytes_utf8": 1161, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 714, + "bytes_utf8": 714, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 724, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d9647bd89fd4c61fa14d39cbea28cc5fc4d7bc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "hypertension", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9385447c304f808724e5251e72beb55a7c0f1836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-4e5a-7631-8749-2ef9c21cf5f7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"hypertension\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n GROUP BY \\\"hypertension\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT \\\"g\\\".\\\"hypertension\\\", \\\"g\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS \\\"g\\\"\\nCROSS JOIN \\\"total\\\" AS \\\"t\\\"\\nWHERE \\\"g\\\".\\\"group_value\\\" > \\\"t\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"g\\\".\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested threshold template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL and used NULLIF to ignore empty strings in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14413,"cached_input_tokens":13696,"output_tokens":724,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0628090b7cb868f268330f245492697a92559a2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"hypertension\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS \"group_value\"\n FROM \"m7\"\n GROUP BY \"hypertension\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT \"g\".\"hypertension\", \"g\".\"group_value\"\nFROM \"grouped\" AS \"g\"\nCROSS JOIN \"total\" AS \"t\"\nWHERE \"g\".\"group_value\" > \"t\".\"total_value\" * 0.05\nORDER BY \"g\".\"group_value\" DESC;","notes":"Applied the requested threshold template with group_col=\"hypertension\" and measure_col=\"age\". Cast \"age\" from TEXT to REAL and used NULLIF to ignore empty strings in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4843aeea629c783f59f229a5bc2a6a7d690c7876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8056, "bytes_utf8": 8056, "lines": 242, "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": 684, "bytes_utf8": 684, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14395, "cached_input_tokens": 12288, "output_tokens": 710, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e40a5968e9a3ef3cbf93206421b3d723241fdcab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_bd23d9c21a243294", + "api_calls": 0, + "input_tokens": 14395, + "cached_input_tokens": 12288, + "output_tokens": 710, + "total_tokens": 15105, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13700.19, + "sql_execution_elapsed_ms_total": 11.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9b6939452a3174171b937e624ae64f43ae54bf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:59.076083+00:00", + "ended_at": "2026-05-19T15:36:12.776315+00:00", + "elapsed_ms": 13700.19, + "prompt_metrics": { + "chars": 8056, + "bytes_utf8": 8056, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1069, + "bytes_utf8": 1069, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 684, + "bytes_utf8": 684, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14395, + "cached_input_tokens": 12288, + "output_tokens": 710, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6e93cd2991f3580cd1379b81c706fd17a328802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "item_col": "age", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..de0174729754d7a87204369219195020e91d8365 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-2c68-7c50-bbc8-16da7ce6e18e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"work_type\\\", \\\"age\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL))) OVER (PARTITION BY \\\"work_type\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\", \\\"age\\\"\\nORDER BY share_within_group DESC\\nLIMIT 13;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"work_type\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". \\\"id\\\" is stored as TEXT in SQLite, so it is cast to REAL for summation; this computes share of summed id values within each work_type, not row-count share.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14395,"cached_input_tokens":12288,"output_tokens":710,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f10819fa69fd122dc9ff18fef52e89091321905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"work_type\", \"age\",\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"id\", '') AS REAL))) OVER (PARTITION BY \"work_type\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"work_type\", \"age\"\nORDER BY share_within_group DESC\nLIMIT 13;","notes":"Applied the Within-Group Share of Total template with group_col=\"work_type\", item_col=\"age\", and measure_col=\"id\". \"id\" is stored as TEXT in SQLite, so it is cast to REAL for summation; this computes share of summed id values within each work_type, not row-count share."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0f7c865a143f51aa63cf97c87ecdecbbf752c5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7917, "bytes_utf8": 7917, "lines": 243, "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": 7917, "bytes_utf8": 7917, "lines": 243, "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": 500, "bytes_utf8": 500, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14341, "cached_input_tokens": 13696, "output_tokens": 292, "reasoning_output_tokens": 170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4991796d3b00464a1b902143d7f832a6db0a31fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_be6518e5f2d9aa6a", + "api_calls": 0, + "input_tokens": 14341, + "cached_input_tokens": 13696, + "output_tokens": 292, + "total_tokens": 14633, + "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": 11916.25, + "sql_execution_elapsed_ms_total": 3.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e73c6500ad05707fd70ea683da51249e1ab969bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:36.714500+00:00", + "ended_at": "2026-05-19T15:59:39.971393+00:00", + "elapsed_ms": 3256.86, + "returncode": 1, + "prompt_metrics": { + "chars": 7917, + "bytes_utf8": 7917, + "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_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..40f849182a01df84df5aafd2110c4a25d7fd67a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:40.973310+00:00", + "ended_at": "2026-05-19T15:59:49.632744+00:00", + "elapsed_ms": 8659.39, + "prompt_metrics": { + "chars": 7917, + "bytes_utf8": 7917, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 851, + "bytes_utf8": 851, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 500, + "bytes_utf8": 500, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14341, + "cached_input_tokens": 13696, + "output_tokens": 292, + "reasoning_output_tokens": 170 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db9d732419291381d9c9899ebf6280fce1a43f80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=hypertension, condition_col=hypertension.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "hypertension", + "condition_col": "hypertension", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..db9d732419291381d9c9899ebf6280fce1a43f80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=hypertension, condition_col=hypertension.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "hypertension", + "condition_col": "hypertension", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb2ebf4088952b908db7041da39586f220900dd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-ce08-7f63-aa53-29723c6add9a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b75d0e01280f4dd1911bd02922e7c3c51986b0a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-ce08-7f63-aa53-29723c6add9a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cccf4593a88bc099dab67b1659697ab0bb15d676 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-ded2-77a1-918c-2ca7e354f8a8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"hypertension\\\",\\n AVG(CASE WHEN \\\"hypertension\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"hypertension\\\" and condition_value='1'. This probes a self-grouped within-group proportion, so the result reflects direction consistency of the same field.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14341,"cached_input_tokens":13696,"output_tokens":292,"reasoning_output_tokens":170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c1c3e8bb91630cd7c5137c9d13f179b0bb116b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"hypertension\",\n AVG(CASE WHEN \"hypertension\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \"hypertension\" and condition_value='1'. This probes a self-grouped within-group proportion, so the result reflects direction consistency of the same field."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ccc49ec925bc9f2f3412786967b6f74a8f310e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7916, "bytes_utf8": 7916, "lines": 243, "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": 491, "bytes_utf8": 491, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14338, "cached_input_tokens": 13696, "output_tokens": 387, "reasoning_output_tokens": 262}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31109897ede320e1d8afac395b9ec259350f0188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c08ff4bb357a2f1e", + "api_calls": 0, + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 387, + "total_tokens": 14725, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10802.32, + "sql_execution_elapsed_ms_total": 2.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4259160a6e7723aaf0e9afcd4a2b0b50005eec33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:38.642402+00:00", + "ended_at": "2026-05-19T16:01:49.444759+00:00", + "elapsed_ms": 10802.32, + "prompt_metrics": { + "chars": 7916, + "bytes_utf8": 7916, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 854, + "bytes_utf8": 854, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 491, + "bytes_utf8": 491, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 387, + "reasoning_output_tokens": 262 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..080066ddf935eb2018c79d24a1d14fdf4ed799da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Female", + "positive_value": "Female", + "negative_value": "Male", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5abc3cd2c77656d50a1ba672d5d08336d24d2a06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-aa42-7cb3-9a2f-470ad33424da"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"gender\\\" and condition_col=\\\"gender\\\". Because the grouping and condition use the same column, the result is a within-group proportion of rows equal to 'Female' for each gender category.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14338,"cached_input_tokens":13696,"output_tokens":387,"reasoning_output_tokens":262}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0fc56cbb0408a22ebb8915e4e48ef0b0ac349ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"gender\",\n AVG(CASE WHEN \"gender\" = 'Female' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col=\"gender\" and condition_col=\"gender\". Because the grouping and condition use the same column, the result is a within-group proportion of rows equal to 'Female' for each gender category."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbeedc257fad501432e18ff773220ad42d9ed5cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7962, "bytes_utf8": 7962, "lines": 243, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14347, "cached_input_tokens": 12032, "output_tokens": 326, "reasoning_output_tokens": 184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5bc512d3e04729e5c2c15db8aaff25c567339cda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c1b0d1282da280d7", + "api_calls": 0, + "input_tokens": 14347, + "cached_input_tokens": 12032, + "output_tokens": 326, + "total_tokens": 14673, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9616.72, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6da4e12bb92ea84001bcdb4dcd4a4d2d930cb82a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:03.300333+00:00", + "ended_at": "2026-05-19T16:01:12.917083+00:00", + "elapsed_ms": 9616.72, + "prompt_metrics": { + "chars": 7962, + "bytes_utf8": 7962, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 926, + "bytes_utf8": 926, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 575, + "bytes_utf8": 575, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14347, + "cached_input_tokens": 12032, + "output_tokens": 326, + "reasoning_output_tokens": 184 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1621761ba8a07284121ef7d5130ebb4a4a72e11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoking_status, condition_col=smoking_status.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoking_status", + "condition_col": "smoking_status", + "condition_value": "never smoked", + "positive_value": "never smoked", + "negative_value": "Unknown", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..151e44519532b845fb72bb7bb7656de457f9ada2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-2046-7750-9a93-46d7b6567216"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoking_status\\\",\\n AVG(CASE WHEN \\\"smoking_status\\\" = 'never smoked' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col and condition_col both bound to \\\"smoking_status\\\" and condition_value bound to 'never smoked'. Because the grouping column and condition column are the same, the resulting rate is 1 for the 'never smoked' group and 0 for other smoking_status groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14347,"cached_input_tokens":12032,"output_tokens":326,"reasoning_output_tokens":184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ecd274f270ef9336aa37d3a2e8cbe672253d010 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"smoking_status\",\n AVG(CASE WHEN \"smoking_status\" = 'never smoked' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY condition_rate DESC;","notes":"Uses the required Grouped Condition Rate template with group_col and condition_col both bound to \"smoking_status\" and condition_value bound to 'never smoked'. Because the grouping column and condition column are the same, the resulting rate is 1 for the 'never smoked' group and 0 for other smoking_status groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d429e57d9f5890ca9f29cc36b4c2ca290919f1f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8093, "bytes_utf8": 8093, "lines": 242, "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": 743, "bytes_utf8": 743, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 541, "reasoning_output_tokens": 335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6207da5de83d15130cd13e8f5fdebcdc86dca0af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c65e7d1a55bae35e", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 541, + "total_tokens": 14945, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11489.85, + "sql_execution_elapsed_ms_total": 8.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c468929f924f4fd8090606c86ac29108e5cce636 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:42.838088+00:00", + "ended_at": "2026-05-19T15:38:54.327964+00:00", + "elapsed_ms": 11489.85, + "prompt_metrics": { + "chars": 8093, + "bytes_utf8": 8093, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1132, + "bytes_utf8": 1132, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 743, + "bytes_utf8": 743, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 541, + "reasoning_output_tokens": 335 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc745ccab236a91b6ef4d8a9743141b931414a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb2b64ccecb967e06d63b07c2e740154063c9dbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-ac0f-7a00-9505-ed733957bc8e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"heart_disease\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"avg_glucose_level\\\" AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE \\\"avg_glucose_level\\\" <> '' AND \\\"bmi\\\" <> ''\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"heart_disease\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Cast the measure to REAL because the schema stores it as TEXT, and filtered empty TEXT values for measure and item columns.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14404,"cached_input_tokens":12032,"output_tokens":541,"reasoning_output_tokens":335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c16eaaeaa0e8d1668f2f8ba55edf330b19a9b0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"heart_disease\", \"bmi\",\n SUM(CAST(\"avg_glucose_level\" AS REAL)) AS total_measure,\n SUM(CAST(\"avg_glucose_level\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"avg_glucose_level\" AS REAL))) OVER (PARTITION BY \"heart_disease\") AS share_within_group\nFROM \"m7\"\nWHERE \"avg_glucose_level\" <> '' AND \"bmi\" <> ''\nGROUP BY \"heart_disease\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"heart_disease\", item_col=\"bmi\", and measure_col=\"avg_glucose_level\". Cast the measure to REAL because the schema stores it as TEXT, and filtered empty TEXT values for measure and item columns."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91bc62db2e58467d78526a4897d9bface9a6ba39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7837, "bytes_utf8": 7837, "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": 7837, "bytes_utf8": 7837, "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": 823, "bytes_utf8": 823, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 12032, "output_tokens": 1102, "reasoning_output_tokens": 857}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9bf40c107364a8baabb1a72debdfa4c150cf4065 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c7a9c406148170f8", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 12032, + "output_tokens": 1102, + "total_tokens": 15417, + "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": 22713.68, + "sql_execution_elapsed_ms_total": 30.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c1d0177d9573417ef2d16fc7181951914d07a8a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:57.406240+00:00", + "ended_at": "2026-05-19T15:56:00.189168+00:00", + "elapsed_ms": 2782.91, + "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_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1fe3354eb9511a1723808ccfa30a5dca2d380cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:01.191112+00:00", + "ended_at": "2026-05-19T15:56:21.121933+00:00", + "elapsed_ms": 19930.77, + "prompt_metrics": { + "chars": 7837, + "bytes_utf8": 7837, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1249, + "bytes_utf8": 1249, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 823, + "bytes_utf8": 823, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 12032, + "output_tokens": 1102, + "reasoning_output_tokens": 857 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4b0dded634d6922b5cb74e5a75b35ada62e2884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4b0dded634d6922b5cb74e5a75b35ada62e2884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fbce694c257a48a096b7d9ce7858e884c2db151 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-756f-7533-8305-e40022eb3cf5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46ec05c7026caac1b5f0ef71e7bf5f177b4a0ae6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-756f-7533-8305-e40022eb3cf5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..02853b0d0f47abb2a27123511297cdace7747136 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-841e-7d51-b792-3ff633e71c4e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"hypertension\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"hypertension\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"hypertension\\\") AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n)\\nSELECT\\n \\\"hypertension\\\",\\n \\\"age_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST((0.95 * \\\"cnt\\\") + 0.999999999999 AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per hypertension group. \\\"age\\\" is stored as TEXT in the schema, so it is CAST to REAL, and empty age values are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":12032,"output_tokens":1102,"reasoning_output_tokens":857}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..73b36d224262c22e65960a767c6262983ab0bd67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"hypertension\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"hypertension\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"hypertension\") AS \"cnt\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\n)\nSELECT\n \"hypertension\",\n \"age_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST((0.95 * \"cnt\") + 0.999999999999 AS INTEGER)\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per hypertension group. \"age\" is stored as TEXT in the schema, so it is CAST to REAL, and empty age values are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb785ce36e2fb7a3d9ca49624de882d5295c7e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7987, "bytes_utf8": 7987, "lines": 244, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 506, "bytes_utf8": 506, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14375, "cached_input_tokens": 12032, "output_tokens": 489, "reasoning_output_tokens": 358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0dc9224fb2d8a4ac30cd78ddff2c92b416bedf34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c8c8170b9ca274b5", + "api_calls": 0, + "input_tokens": 14375, + "cached_input_tokens": 12032, + "output_tokens": 489, + "total_tokens": 14864, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11085.67, + "sql_execution_elapsed_ms_total": 2.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ce01e6bf8dc12b27b2f038253d1492c9a4ced68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:22.709659+00:00", + "ended_at": "2026-05-19T15:43:33.795360+00:00", + "elapsed_ms": 11085.67, + "prompt_metrics": { + "chars": 7987, + "bytes_utf8": 7987, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 873, + "bytes_utf8": 873, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 506, + "bytes_utf8": 506, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14375, + "cached_input_tokens": 12032, + "output_tokens": 489, + "reasoning_output_tokens": 358 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd5fcb3377db8c45b038005e4c1928146e8e48da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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=hypertension.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "gender", + "group_col_2": "hypertension", + "predicate_col": "avg_glucose_level", + "predicate_op": ">=", + "predicate_value": 114.09, + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc5f66e662560e02f6b57377483ce63354e21024 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-f161-76a2-ab2d-1e53250e1816"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"gender\\\", \\\"hypertension\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL) >= 114.09\\nGROUP BY \\\"gender\\\", \\\"hypertension\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with group_col=\\\"gender\\\", group_col_2=\\\"hypertension\\\", and predicate_col=\\\"avg_glucose_level\\\". Used CAST(NULLIF(...)) because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14375,"cached_input_tokens":12032,"output_tokens":489,"reasoning_output_tokens":358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba9bbd4e2d40288dbc7e9890d42349942c450a91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"gender\", \"hypertension\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE CAST(NULLIF(\"avg_glucose_level\", '') AS REAL) >= 114.09\nGROUP BY \"gender\", \"hypertension\"\nORDER BY row_count DESC;","notes":"Applied the filtered two-dimensional group count template with group_col=\"gender\", group_col_2=\"hypertension\", and predicate_col=\"avg_glucose_level\". Used CAST(NULLIF(...)) because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..472a079d7a214249e9f76b5de473d404cb311c8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8518, "bytes_utf8": 8518, "lines": 243, "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": 770, "bytes_utf8": 770, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14494, "cached_input_tokens": 13696, "output_tokens": 622, "reasoning_output_tokens": 426}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e78a810f835ecab38fd45ea400c6998804ef03fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c9f879af9b57fc7b", + "api_calls": 0, + "input_tokens": 14494, + "cached_input_tokens": 13696, + "output_tokens": 622, + "total_tokens": 15116, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14636.74, + "sql_execution_elapsed_ms_total": 2.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e00ef8b4eca4479da9a8d637d6117ae6f255bf2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:35.838948+00:00", + "ended_at": "2026-05-19T15:39:50.475717+00:00", + "elapsed_ms": 14636.74, + "prompt_metrics": { + "chars": 8518, + "bytes_utf8": 8518, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1135, + "bytes_utf8": 1135, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 770, + "bytes_utf8": 770, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14494, + "cached_input_tokens": 13696, + "output_tokens": 622, + "reasoning_output_tokens": 426 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77d3385d0a03f336d24bd8851fecb1ea152ead07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=smoking_status, condition_col=smoking_status.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "smoking_status", + "condition_col": "smoking_status", + "condition_value": "never smoked", + "positive_value": "never smoked", + "negative_value": "Unknown", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63d140e7193213151ae6b62da69613deafeeda3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-7b33-76a0-b4eb-9a17e357b365"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"smoking_status\\\",\\n SUM(CASE WHEN \\\"smoking_status\\\" = 'never smoked' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"smoking_status\\\" = 'Unknown' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"smoking_status\\\"\\n)\\nSELECT \\\"smoking_status\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the planned template exactly with group_col and condition_col both bound to \\\"smoking_status\\\"; this yields a self-contrast where only the 'never smoked' and 'Unknown' groups can produce nonzero numerator or denominator counts.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14494,"cached_input_tokens":13696,"output_tokens":622,"reasoning_output_tokens":426}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..066da11562389ceab06b2d80b5b9128f277f9a69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"smoking_status\",\n SUM(CASE WHEN \"smoking_status\" = 'never smoked' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"smoking_status\" = 'Unknown' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"smoking_status\"\n)\nSELECT \"smoking_status\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the planned template exactly with group_col and condition_col both bound to \"smoking_status\"; this yields a self-contrast where only the 'never smoked' and 'Unknown' groups can produce nonzero numerator or denominator counts."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6f198916aed9d30793c372ddc172cbd2e593c549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:29.410332+00:00", + "ended_at": "2026-05-19T16:08:32.489236+00:00", + "elapsed_ms": 3078.88, + "returncode": 1, + "prompt_metrics": { + "chars": 7774, + "bytes_utf8": 7774, + "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_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f50204697426ff7287f192d454a5486607601586 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:33.490457+00:00", + "ended_at": "2026-05-19T16:08:36.799597+00:00", + "elapsed_ms": 3309.11, + "returncode": 1, + "prompt_metrics": { + "chars": 7774, + "bytes_utf8": 7774, + "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_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97fec7b1531be45b6f5e4979670efdb42444a4e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..97fec7b1531be45b6f5e4979670efdb42444a4e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a89373ec6d22b4bf396e8bed9d83f7f03db9010 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-eee3-75f3-9c16-cf60506681d0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..029e810ae6f16d430648becc59088ad99de73edc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-eee3-75f3-9c16-cf60506681d0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..14cec0a45e0916205077e89bde7227db30b8aae8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-fec5-78b3-805c-eb727ed9c571"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d18c5634a10d5894e1ba09de08c40a3be9b5d67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-fec5-78b3-805c-eb727ed9c571"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..73b0b5184c1b5991351b65d181f28485b48e99f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:47.352749+00:00", + "ended_at": "2026-05-19T16:05:51.242260+00:00", + "elapsed_ms": 3889.48, + "returncode": 1, + "prompt_metrics": { + "chars": 7654, + "bytes_utf8": 7654, + "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_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..990d4ef555f0ad691de1087689d76d8e7429898a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:52.244440+00:00", + "ended_at": "2026-05-19T16:05:55.828150+00:00", + "elapsed_ms": 3583.67, + "returncode": 1, + "prompt_metrics": { + "chars": 7654, + "bytes_utf8": 7654, + "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_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be0039a1c9e3b3e1285d825d88ff4db03dd7a8c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=work_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..be0039a1c9e3b3e1285d825d88ff4db03dd7a8c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=work_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..17120965f4fae7ea4519ad13b0d8bf91fb396c25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-75e3-7011-b8b1-08087059596d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5afa7ebad540a4b795dc277c48f7b9c5fd81abda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-75e3-7011-b8b1-08087059596d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f19a3851414a16986cf4baec5721f90820ff500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-88fc-7780-950d-72ba5271109b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd46cc6e10573533b46332e73a78976f96d95a60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-88fc-7780-950d-72ba5271109b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d61c880235ca2afaced38540a0c4b0299b245f8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7725, "bytes_utf8": 7725, "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": 7725, "bytes_utf8": 7725, "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": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14286, "cached_input_tokens": 13696, "output_tokens": 358, "reasoning_output_tokens": 237}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1566b46e60bf1ad1fcf9c7f9fb05deb46e31d493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/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": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_d1c17a4c35a64bc8", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 13696, + "output_tokens": 358, + "total_tokens": 14644, + "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": 13128.33, + "sql_execution_elapsed_ms_total": 9.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f42a1c389894dcb54effa527fe550d27755215f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:35.173414+00:00", + "ended_at": "2026-05-19T16:07:38.599173+00:00", + "elapsed_ms": 3425.73, + "returncode": 1, + "prompt_metrics": { + "chars": 7725, + "bytes_utf8": 7725, + "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_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25a93d3180757bb6ee35f1ad88b21dc1ddaa81dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/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": "2026-05-19T16:07:39.601039+00:00", + "ended_at": "2026-05-19T16:07:49.303664+00:00", + "elapsed_ms": 9702.6, + "prompt_metrics": { + "chars": 7725, + "bytes_utf8": 7725, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 810, + "bytes_utf8": 810, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 452, + "bytes_utf8": 452, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14286, + "cached_input_tokens": 13696, + "output_tokens": 358, + "reasoning_output_tokens": 237 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fc61cfe2d301ec8326dd819ae1397ead2c05778 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fc61cfe2d301ec8326dd819ae1397ead2c05778 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29b19f85a82c701f9f5aaad5dfe3ef42e77145fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-1af4-7110-b7e7-d9a1be26f42b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b72a4de51e49431583f6a049c59107d27bc48f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-1af4-7110-b7e7-d9a1be26f42b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7fc5b9bec118b40f9924fa94860e91ef1433b4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2c6e-7222-aa89-956734081b6c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"stroke\\\",\\n AVG(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) OVER (PARTITION BY \\\"stroke\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the planned Window Partition Average template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may be blank, NULLIF(..., '') and CAST(... AS REAL) are used so AVG computes correctly.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14286,"cached_input_tokens":13696,"output_tokens":358,"reasoning_output_tokens":237}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..565e72c00bd7eaec1dd22d67894b0657b6e81c3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"stroke\",\n AVG(CAST(NULLIF(\"bmi\", '') AS REAL)) OVER (PARTITION BY \"stroke\") AS avg_measure\nFROM \"m7\"\nORDER BY avg_measure DESC;","notes":"Uses the planned Window Partition Average template with group_col=\"stroke\" and measure_col=\"bmi\". Since \"bmi\" is stored as TEXT and may be blank, NULLIF(..., '') and CAST(... AS REAL) are used so AVG computes correctly."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..02ea59ad2172a047c25fecc37cadca82b1f51aa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:49.316436+00:00", + "ended_at": "2026-05-19T16:07:52.455543+00:00", + "elapsed_ms": 3139.08, + "returncode": 1, + "prompt_metrics": { + "chars": 7730, + "bytes_utf8": 7730, + "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_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6403bcdeb5817cfa3b4d81178ac23015562c74cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:53.457422+00:00", + "ended_at": "2026-05-19T16:07:57.182133+00:00", + "elapsed_ms": 3724.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7730, + "bytes_utf8": 7730, + "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_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4df975ad39216f2a617d3332e709244f705b13c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4df975ad39216f2a617d3332e709244f705b13c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..498fff2b1b1c37857d6287c7505f4d837e30e8f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5244-7f03-9dfe-0e69a66f59cf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7798adafaf406b44fc5d4b638b103d345bda0f0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5244-7f03-9dfe-0e69a66f59cf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcfaccd74a9dfc130745fb1528626788519348a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6274-7130-88cd-9971718ac6d9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c81c53c0ca309259181a0db6b6e51c4b3272490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6274-7130-88cd-9971718ac6d9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44faeb68b7427f08ab74c76822841bd3ecc2a16b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8499, "bytes_utf8": 8499, "lines": 243, "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": 775, "bytes_utf8": 775, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14489, "cached_input_tokens": 12032, "output_tokens": 663, "reasoning_output_tokens": 457}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3885bbbea5090658d74c59c3301faeca364e2e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_d4a0a662a8b44262", + "api_calls": 0, + "input_tokens": 14489, + "cached_input_tokens": 12032, + "output_tokens": 663, + "total_tokens": 15152, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13865.62, + "sql_execution_elapsed_ms_total": 3.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9dc108a8ed89d05cb92089c25bf247ecf099ecb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:21.965769+00:00", + "ended_at": "2026-05-19T15:39:35.831419+00:00", + "elapsed_ms": 13865.62, + "prompt_metrics": { + "chars": 8499, + "bytes_utf8": 8499, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1140, + "bytes_utf8": 1140, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 775, + "bytes_utf8": 775, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14489, + "cached_input_tokens": 12032, + "output_tokens": 663, + "reasoning_output_tokens": 457 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a7719a10c623920b52a98b07f6d0e7b98851cd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Residence_type, condition_col=Residence_type.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Residence_type", + "condition_col": "Residence_type", + "condition_value": "Urban", + "positive_value": "Urban", + "negative_value": "Rural", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..53a531659b97cb9a559ad4d78d3316abe752e550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-44f3-7f93-b918-c71bee84a819"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Residence_type\\\",\\n SUM(CASE WHEN \\\"Residence_type\\\" = 'Urban' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Residence_type\\\" = 'Rural' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"Residence_type\\\"\\n)\\nSELECT \\\"Residence_type\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the requested template exactly with group_col and condition_col both bound to \\\"Residence_type\\\". This makes the result self-referential: the 'Urban' group has no 'Rural' rows so its ratio is NULL, while the 'Rural' group has a ratio of 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14489,"cached_input_tokens":12032,"output_tokens":663,"reasoning_output_tokens":457}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1529090d95a139a796a0bb33b557e284d8ed97b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Residence_type\",\n SUM(CASE WHEN \"Residence_type\" = 'Urban' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Residence_type\" = 'Rural' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"Residence_type\"\n)\nSELECT \"Residence_type\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the requested template exactly with group_col and condition_col both bound to \"Residence_type\". This makes the result self-referential: the 'Urban' group has no 'Rural' rows so its ratio is NULL, while the 'Rural' group has a ratio of 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d99d82840421ca5c3d99c761adc52a04edc63fb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:25.379227+00:00", + "ended_at": "2026-05-19T16:03:28.779584+00:00", + "elapsed_ms": 3400.33, + "returncode": 1, + "prompt_metrics": { + "chars": 7615, + "bytes_utf8": 7615, + "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_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d857d3142babfca1686f7055f54cccae241bb3ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:29.781845+00:00", + "ended_at": "2026-05-19T16:03:33.317856+00:00", + "elapsed_ms": 3535.98, + "returncode": 1, + "prompt_metrics": { + "chars": 7615, + "bytes_utf8": 7615, + "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_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..34089fc60a9d6fff064346fc2c74387280500545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..34089fc60a9d6fff064346fc2c74387280500545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c4ca87f4da58bfc87814331b2e374932ba78ce5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4b47-71c1-804d-ecce502841b7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfcd1f3a1fa41f6e73916e9b6ae2c5dfde918640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4b47-71c1-804d-ecce502841b7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4482bf72939637a3586799e5fb617b8517b0c88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5c97-7373-9264-1bef118ed01f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f9b8c3124f98902c07cafc9cdc03b8f7a912f62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5c97-7373-9264-1bef118ed01f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d7b8e176e80c0cf4b8cd21e09cf8b5105e2a6902 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8077, "bytes_utf8": 8077, "lines": 242, "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": 808, "bytes_utf8": 808, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14398, "cached_input_tokens": 13696, "output_tokens": 712, "reasoning_output_tokens": 485}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1bf9cc9c4a069542111c0a1b175c8ff6319f16a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_d8ed040927b1d9ba", + "api_calls": 0, + "input_tokens": 14398, + "cached_input_tokens": 13696, + "output_tokens": 712, + "total_tokens": 15110, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14400.58, + "sql_execution_elapsed_ms_total": 17.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d612c1295efafa4324d562e61c930d71eedc1278 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:28.415677+00:00", + "ended_at": "2026-05-19T15:38:42.816282+00:00", + "elapsed_ms": 14400.58, + "prompt_metrics": { + "chars": 8077, + "bytes_utf8": 8077, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1219, + "bytes_utf8": 1219, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 808, + "bytes_utf8": 808, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14398, + "cached_input_tokens": 13696, + "output_tokens": 712, + "reasoning_output_tokens": 485 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15c98abac32b197e0f3c90e25443eed8ef68f812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=hypertension, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "item_col": "avg_glucose_level", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c3a7a5019d457acea2a6bb4a2ff4428c89da54d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-73d3-72e3-a81a-45fd3e9ca485"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hypertension\\\", \\\"avg_glucose_level\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"hypertension\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE \\\"hypertension\\\" IS NOT NULL AND \\\"hypertension\\\" <> ''\\n AND \\\"avg_glucose_level\\\" IS NOT NULL AND \\\"avg_glucose_level\\\" <> ''\\n AND \\\"age\\\" IS NOT NULL AND \\\"age\\\" <> ''\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"hypertension\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". CAST(\\\"age\\\" AS REAL) is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14398,"cached_input_tokens":13696,"output_tokens":712,"reasoning_output_tokens":485}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e000b5b8c12a210620417d2ce83b7b23a7ddde4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"hypertension\", \"avg_glucose_level\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"hypertension\") AS share_within_group\nFROM \"m7\"\nWHERE \"hypertension\" IS NOT NULL AND \"hypertension\" <> ''\n AND \"avg_glucose_level\" IS NOT NULL AND \"avg_glucose_level\" <> ''\n AND \"age\" IS NOT NULL AND \"age\" <> ''\nGROUP BY \"hypertension\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"hypertension\", item_col=\"avg_glucose_level\", and measure_col=\"age\". CAST(\"age\" AS REAL) is used because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26748b4b23d9ad93ddd2ff4531eb953fbd453da6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8205, "bytes_utf8": 8205, "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": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 13696, "output_tokens": 707, "reasoning_output_tokens": 515}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d87214fd2aa15bbbf1138547625511332feda200 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ddd2f4c83387d847", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 707, + "total_tokens": 15120, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13604.75, + "sql_execution_elapsed_ms_total": 2.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eb78b6515bfd87af238d4808c2ee70716c3beb5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:00.984118+00:00", + "ended_at": "2026-05-19T15:48:14.588902+00:00", + "elapsed_ms": 13604.75, + "prompt_metrics": { + "chars": 8205, + "bytes_utf8": 8205, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1095, + "bytes_utf8": 1095, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 671, + "bytes_utf8": 671, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 707, + "reasoning_output_tokens": 515 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3473e76e93fd44e53ee29f281589b1315beb5c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..02b3388321ef3ac111cb59316a045a44285c83ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-30d2-7fd0-926c-5d18363f86ea"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"work_type\\\", COUNT(\\\"id\\\") AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"work_type\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested threshold template with \\\"work_type\\\" as the grouping column. For count_distribution, COUNT(\\\"id\\\") is used instead of SUM(\\\"id\\\") because \\\"id\\\" is an identifier-like TEXT field.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14413,"cached_input_tokens":13696,"output_tokens":707,"reasoning_output_tokens":515}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43a27dedd26c1b283f4a5907e4804e491d073009 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"work_type\", COUNT(\"id\") AS \"group_value\"\n FROM \"m7\"\n GROUP BY \"work_type\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"work_type\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested threshold template with \"work_type\" as the grouping column. For count_distribution, COUNT(\"id\") is used instead of SUM(\"id\") because \"id\" is an identifier-like TEXT field."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0611f17a9d441f9a4bbc3d77e0880a226c9305ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "work_type", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..19f02d72858dce685e36db1d6426ded0841af43d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5f10-7eb1-88f0-160bb8747ac1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"work_type\\\",\\n AVG(CAST(\\\"id\\\" AS REAL)) OVER (PARTITION BY \\\"work_type\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"work_type\\\" and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS REAL) is used because the schema stores \\\"id\\\" as TEXT, and SQLite AVG requires numeric coercion for stable results.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14289,"cached_input_tokens":12032,"output_tokens":463,"reasoning_output_tokens":347}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..586f21af6a293a6c339632360fcc513d7a5308e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "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": 572, "bytes_utf8": 572, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 12032, "output_tokens": 669, "reasoning_output_tokens": 507}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..724a3bdbd0459c330e26eecf614d6053007b08a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e40abd3fe2d08427", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 12032, + "output_tokens": 669, + "total_tokens": 14999, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20992.75, + "sql_execution_elapsed_ms_total": 11.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba18e643f0ff1fef0aadb1a4a83c01d233c905ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:41.617206+00:00", + "ended_at": "2026-05-19T15:45:02.609982+00:00", + "elapsed_ms": 20992.75, + "prompt_metrics": { + "chars": 7818, + "bytes_utf8": 7818, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1614, + "bytes_utf8": 1614, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 572, + "bytes_utf8": 572, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14330, + "cached_input_tokens": 12032, + "output_tokens": 669, + "reasoning_output_tokens": 507 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3299a8318f78333e52f02d7a58639a10091b0805 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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": 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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f77ad72ec3cdba6f75923ef09795fa5e2dee3b31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e9-2591-7070-af41-5f099875ddcb"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989254, Requested 14965. Please try again in 126ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14965. Please try again in 448ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL AND \\\"age\\\" <> ''\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"age\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to \\\"age\\\" and num_tiles=10. \\\"age\\\" is cast to REAL because the SQLite schema stores it as TEXT; NULL and empty-string values are excluded before bucketing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14330,"cached_input_tokens":12032,"output_tokens":669,"reasoning_output_tokens":507}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..26859bc1443a67be6596793cbdec4f434e4dd3a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"age\" AS REAL) AS \"age\",\n NTILE(10) OVER (ORDER BY CAST(\"age\" AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL AND \"age\" <> ''\n)\nSELECT \"age\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"age\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to \"age\" and num_tiles=10. \"age\" is cast to REAL because the SQLite schema stores it as TEXT; NULL and empty-string values are excluded before bucketing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a716710c209eb3b9a75696c96e21b30ea87ca843 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8209, "bytes_utf8": 8209, "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": 683, "bytes_utf8": 683, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14415, "cached_input_tokens": 13696, "output_tokens": 638, "reasoning_output_tokens": 438}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1623a5e76de100e5c6cf300ff9d2cfcd12acf928 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e43796e9748a8139", + "api_calls": 0, + "input_tokens": 14415, + "cached_input_tokens": 13696, + "output_tokens": 638, + "total_tokens": 15053, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11621.51, + "sql_execution_elapsed_ms_total": 2.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9203adc45e88575bf7fa331c76bbf2488768101d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:14.595256+00:00", + "ended_at": "2026-05-19T15:48:26.216798+00:00", + "elapsed_ms": 11621.51, + "prompt_metrics": { + "chars": 8209, + "bytes_utf8": 8209, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1102, + "bytes_utf8": 1102, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 683, + "bytes_utf8": 683, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14415, + "cached_input_tokens": 13696, + "output_tokens": 638, + "reasoning_output_tokens": 438 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0ac2059617a1a24ec3b6113fc42955bd0e02af8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "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_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c576b879a0e8b4d9d70f7d9c20c949b1a55d949c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-6587-7320-b767-17b9cb420c61"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"work_type\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"work_type\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\\\"work_type\\\" and measure_col=\\\"id\\\". \\\"id\\\" is stored as TEXT in the schema, so it is cast to REAL for SUM() in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14415,"cached_input_tokens":13696,"output_tokens":638,"reasoning_output_tokens":438}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b15ea461eb7e7bd33d3f6cb2fce13f5de3170d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"work_type\", SUM(CAST(\"id\" AS REAL)) AS \"group_value\"\n FROM \"m7\"\n GROUP BY \"work_type\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"work_type\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\"work_type\" and measure_col=\"id\". \"id\" is stored as TEXT in the schema, so it is cast to REAL for SUM() in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b6bfcb3abb2880cb1293171de15c0979521ad0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8200, "bytes_utf8": 8200, "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": 695, "bytes_utf8": 695, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14412, "cached_input_tokens": 13696, "output_tokens": 453, "reasoning_output_tokens": 269}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..672813bc726f0b90bd1995bbd4c2cf50f8c93d3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e5b7fcd17fd34e8e", + "api_calls": 0, + "input_tokens": 14412, + "cached_input_tokens": 13696, + "output_tokens": 453, + "total_tokens": 14865, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9962.74, + "sql_execution_elapsed_ms_total": 2.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f6ad90c29470b953d6fed3881703db2e4fba0a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:31.674198+00:00", + "ended_at": "2026-05-19T15:49:41.636967+00:00", + "elapsed_ms": 9962.74, + "prompt_metrics": { + "chars": 8200, + "bytes_utf8": 8200, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1066, + "bytes_utf8": 1066, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 695, + "bytes_utf8": 695, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14412, + "cached_input_tokens": 13696, + "output_tokens": 453, + "reasoning_output_tokens": 269 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..867944e5d131b2808a2b8e1fdb43728cb8ad7ae0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=stroke, measure_col=bmi.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "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": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d711fa03d7add57708a77ee85a705255a438e76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-9299-7b12-9945-b4ed8ff63d03"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"stroke\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, the query converts non-empty values to REAL with CAST(NULLIF(...)) so SQLite sums valid numeric BMI values only.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14412,"cached_input_tokens":13696,"output_tokens":453,"reasoning_output_tokens":269}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86f41f9b248fc28e47a2bf43eeaf137920d9f358 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"stroke\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"stroke\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"stroke\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the requested template with group_col=\"stroke\" and measure_col=\"bmi\". Since \"bmi\" is stored as TEXT and may contain empty strings, the query converts non-empty values to REAL with CAST(NULLIF(...)) so SQLite sums valid numeric BMI values only."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..13de1dc1b83e446917e7e40e6f07e2726c266859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:57.184934+00:00", + "ended_at": "2026-05-19T16:08:00.098914+00:00", + "elapsed_ms": 2913.95, + "returncode": 1, + "prompt_metrics": { + "chars": 7731, + "bytes_utf8": 7731, + "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_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f03b4e86c60e7d2bc591e579bb43c63dc5fa5cd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:01.100418+00:00", + "ended_at": "2026-05-19T16:08:03.903087+00:00", + "elapsed_ms": 2802.64, + "returncode": 1, + "prompt_metrics": { + "chars": 7731, + "bytes_utf8": 7731, + "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_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a929754e03dab6fb0d0c447e01c2161f17a1fde9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a929754e03dab6fb0d0c447e01c2161f17a1fde9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..85629a1051164398bef3d2b1c5335fccc17c1708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7109-78f3-8019-9dc73c916784"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55878072d7cff4f2929354d2cb56f8c5f6743fbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7109-78f3-8019-9dc73c916784"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0aa1a9ec6e3c197073221169c4e7367b6579a14b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-804f-7bf1-a3c0-5b2edea7ca7d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab3c4e2ef8c01043dc3eae0b67539eb435576887 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-804f-7bf1-a3c0-5b2edea7ca7d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a487f80688ae31cb17e51a25539a19f9b5436261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7662, "bytes_utf8": 7662, "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": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 12032, "output_tokens": 337, "reasoning_output_tokens": 222}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..25cd44e3a2ee18f6892b7d09556c6504c747a3ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ea8a74383453f631", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 14614, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12970.2, + "sql_execution_elapsed_ms_total": 2.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e885a2630a82fdc3323ab5688040c9092895273b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:31.774977+00:00", + "ended_at": "2026-05-19T15:30:44.745232+00:00", + "elapsed_ms": 12970.2, + "prompt_metrics": { + "chars": 7662, + "bytes_utf8": 7662, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 810, + "bytes_utf8": 810, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 452, + "bytes_utf8": 452, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 337, + "reasoning_output_tokens": 222 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..45d933417dae433bc8964c5e5227fd447f340884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Residence_type, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Residence_type", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7d53adba8641fa506a8b800557aacbbdfc0a379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-2df2-7f21-add2-d2aacc63697a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required Grouped Numeric Sum template with group_col bound to \\\"Residence_type\\\" and measure_col bound to \\\"age\\\". \\\"age\\\" is cast from TEXT to REAL, and empty strings are treated as NULL so SUM remains numeric and SQLite-compatible.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":12032,"output_tokens":337,"reasoning_output_tokens":222}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d908a0b108b6f7f8e55f753bb3ebb7d48daf0f68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Residence_type\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY total_measure DESC;","notes":"Uses the required Grouped Numeric Sum template with group_col bound to \"Residence_type\" and measure_col bound to \"age\". \"age\" is cast from TEXT to REAL, and empty strings are treated as NULL so SUM remains numeric and SQLite-compatible."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7028d39fde8e1ab115bbef16314f921dc8794446 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8203, "bytes_utf8": 8203, "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": 767, "bytes_utf8": 767, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 12032, "output_tokens": 691, "reasoning_output_tokens": 487}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3ae039aab092ccac30c762e3eaf45a788f38fdf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ebe2372fc5d49781", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 12032, + "output_tokens": 691, + "total_tokens": 15104, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15250.72, + "sql_execution_elapsed_ms_total": 4.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e35206b207d332809cf8bb667daf5230b71ba7b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:10.726451+00:00", + "ended_at": "2026-05-19T15:46:25.977208+00:00", + "elapsed_ms": 15250.72, + "prompt_metrics": { + "chars": 8203, + "bytes_utf8": 8203, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1150, + "bytes_utf8": 1150, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 767, + "bytes_utf8": 767, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14413, + "cached_input_tokens": 12032, + "output_tokens": 691, + "reasoning_output_tokens": 487 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9b06f4fea463b1eb97eefe593d137e3c9ba4866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "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=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "gender", + "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": 48651.76, + "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_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c4736cabeae2de9cc8873b652dc49b644ac8916 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-81a0-7340-bf3d-f9645b405894"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE \\\"gender\\\" IS NOT NULL\\n AND \\\"gender\\\" <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND \\\"id\\\" <> ''\\n GROUP BY \\\"gender\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=gender and measure_col=id, casting \\\"id\\\" from TEXT to REAL for SQLite aggregation and filtering out null/empty values for a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14413,"cached_input_tokens":12032,"output_tokens":691,"reasoning_output_tokens":487}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e23d973f308e92e024d051a7e257e09c71bfa7a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"gender\", SUM(CAST(\"id\" AS REAL)) AS group_value\n FROM \"m7\"\n WHERE \"gender\" IS NOT NULL\n AND \"gender\" <> ''\n AND \"id\" IS NOT NULL\n AND \"id\" <> ''\n GROUP BY \"gender\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"gender\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the required Relative-to-Total Extreme Threshold template with group_col=gender and measure_col=id, casting \"id\" from TEXT to REAL for SQLite aggregation and filtering out null/empty values for a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..49bd07f9aa4aa88351df963840e44dd9c557594d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8495, "bytes_utf8": 8495, "lines": 243, "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": 775, "bytes_utf8": 775, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14490, "cached_input_tokens": 12032, "output_tokens": 598, "reasoning_output_tokens": 397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d6f2410d35fd0d2e3f0c648b2b53700dd2d1ce32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f221bc2687d7840e", + "api_calls": 0, + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 598, + "total_tokens": 15088, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15518.91, + "sql_execution_elapsed_ms_total": 3.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..51383dc70bbb6c4620e5c23d2ef2500dce783aeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:06.439116+00:00", + "ended_at": "2026-05-19T15:39:21.958051+00:00", + "elapsed_ms": 15518.91, + "prompt_metrics": { + "chars": 8495, + "bytes_utf8": 8495, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1164, + "bytes_utf8": 1164, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 775, + "bytes_utf8": 775, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 598, + "reasoning_output_tokens": 397 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6bb3624c9252a2129fe3c06acd0c8f8a267509b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=work_type, condition_col=work_type.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "work_type", + "condition_col": "work_type", + "condition_value": "Private", + "positive_value": "Private", + "negative_value": "Self-employed", + "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": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..164594274ebbd12e86bd2cbf5d83dd7618693b34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-086d-7633-85aa-48af7adfabf8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"work_type\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Private' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n)\\nSELECT \\\"work_type\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Applied the provided template with group_col and condition_col both bound to \\\"work_type\\\". Because the grouping column and condition column are the same, groups other than 'Self-employed' will have a zero denominator and yield NULL ratios.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14490,"cached_input_tokens":12032,"output_tokens":598,"reasoning_output_tokens":397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec4009d2e2f75e3b82683c0530dcc3f5067489b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"work_type\",\n SUM(CASE WHEN \"work_type\" = 'Private' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"work_type\" = 'Self-employed' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m7\"\n GROUP BY \"work_type\"\n)\nSELECT \"work_type\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM grouped\nORDER BY \"condition_ratio\" DESC;","notes":"Applied the provided template with group_col and condition_col both bound to \"work_type\". Because the grouping column and condition column are the same, groups other than 'Self-employed' will have a zero denominator and yield NULL ratios."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eea0e5b234aafa75fe7090655dc95cdccf9c8611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8242, "bytes_utf8": 8242, "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": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14421, "cached_input_tokens": 13696, "output_tokens": 657, "reasoning_output_tokens": 482}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4fd1f53d889c1097c1d23037d16a1884a11a3b16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_fcf2ee8d03f77c2a", + "api_calls": 0, + "input_tokens": 14421, + "cached_input_tokens": 13696, + "output_tokens": 657, + "total_tokens": 15078, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13780.43, + "sql_execution_elapsed_ms_total": 4.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..855ce2557e4b78e580edc81902364f08dc17651e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:59.356421+00:00", + "ended_at": "2026-05-19T15:47:13.136904+00:00", + "elapsed_ms": 13780.43, + "prompt_metrics": { + "chars": 8242, + "bytes_utf8": 8242, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1038, + "bytes_utf8": 1038, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 671, + "bytes_utf8": 671, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14421, + "cached_input_tokens": 13696, + "output_tokens": 657, + "reasoning_output_tokens": 482 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be9d6db48e8bdd6945c3e7d990784c6ddcd6137b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "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": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..848fa3a8859a40cad5ee670f84efc478f0a2e024 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-3fb8-7ee0-ba62-19d0f3aca292"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"heart_disease\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"heart_disease\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"heart_disease\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided template with group_col=\\\"heart_disease\\\" and measure_col=\\\"avg_glucose_level\\\", casting the TEXT measure to REAL and treating empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14421,"cached_input_tokens":13696,"output_tokens":657,"reasoning_output_tokens":482}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e4752a7f176c79cbf230ed54344828452d03e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"heart_disease\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"heart_disease\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"heart_disease\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the provided template with group_col=\"heart_disease\" and measure_col=\"avg_glucose_level\", casting the TEXT measure to REAL and treating empty strings as NULL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9966801c0b31acdb147887914ab025d7f46a1d75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7645, "bytes_utf8": 7645, "lines": 238, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14287, "cached_input_tokens": 12032, "output_tokens": 259, "reasoning_output_tokens": 165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..19d6e20d1cec640955bc7c255c3f7f52c3e3058a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ff3e0150199b7682", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 259, + "total_tokens": 14546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7313.3, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bd8c699e65f86c582555f4635dc7bf4d9e6ee4ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:32.966516+00:00", + "ended_at": "2026-05-19T16:06:40.279851+00:00", + "elapsed_ms": 7313.3, + "prompt_metrics": { + "chars": 7645, + "bytes_utf8": 7645, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 707, + "bytes_utf8": 707, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 346, + "bytes_utf8": 346, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 259, + "reasoning_output_tokens": 165 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0c3ac8d152cd642550fc988c8c34a9c0445d504 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/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: m7 +- dataset_name: Stroke Prediction Dataset +- table_name: m7 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 11 feature columns and target `Residence_type`. +- task_type: classification +- target_column: Residence_type +- main_row_count: 5110 +- 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. tags=['condition_candidate', 'measure'] desc=Numeric field for age. +- hypertension: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hypertension. +- heart_disease: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for heart disease. +- ever_married: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ever married. +- work_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for work type. +- Residence_type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Residence type. +- avg_glucose_level: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for avg glucose level. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for bmi. +- smoking_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for smoking status. +- stroke: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for stroke. +- useful_field_combinations: [['gender', 'hypertension', 'Residence_type'], ['gender', 'age', 'Residence_type'], ['gender', 'gender', 'Residence_type']] +- fields_requiring_caution: ['Residence_type', 'avg_glucose_level', 'bmi'] +- source_url: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset + +SQLite schema snapshot: +{ + "table_name": "m7", + "quoted_table_name": "\"m7\"", + "row_count": 5110, + "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": "hypertension", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "heart_disease", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ever_married", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "work_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Residence_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "avg_glucose_level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoking_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stroke", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "9046", + "gender": "Male", + "age": "67", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "228.69", + "bmi": "36.6", + "smoking_status": "formerly smoked", + "stroke": "1" + }, + { + "id": "51676", + "gender": "Female", + "age": "61", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "202.21", + "bmi": "", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "31112", + "gender": "Male", + "age": "80", + "hypertension": "0", + "heart_disease": "1", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Rural", + "avg_glucose_level": "105.92", + "bmi": "32.5", + "smoking_status": "never smoked", + "stroke": "1" + }, + { + "id": "60182", + "gender": "Female", + "age": "49", + "hypertension": "0", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Private", + "Residence_type": "Urban", + "avg_glucose_level": "171.23", + "bmi": "34.4", + "smoking_status": "smokes", + "stroke": "1" + }, + { + "id": "1665", + "gender": "Female", + "age": "79", + "hypertension": "1", + "heart_disease": "0", + "ever_married": "Yes", + "work_type": "Self-employed", + "Residence_type": "Rural", + "avg_glucose_level": "174.12", + "bmi": "24", + "smoking_status": "never smoked", + "stroke": "1" + } + ] +} + +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": "m7", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=stroke.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "stroke", + "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": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b791a939f1886ca62ff602cbab324ab9d37d447 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-281f-7331-94a9-dcc4c21adc3e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"stroke\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"support\\\" ASC, \\\"stroke\\\"\\nLIMIT 17;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"stroke\\\", returning stroke groups with the smallest support first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14287,"cached_input_tokens":12032,"output_tokens":259,"reasoning_output_tokens":165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a342ecc870f491fef7d84f909f0381525f81ea01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"stroke\",\n COUNT(*) AS \"support\"\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY \"support\" ASC, \"stroke\"\nLIMIT 17;","notes":"Applies the Low-Support Group Count template with group_col bound to \"stroke\", returning stroke groups with the smallest support first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_04386f02a7447eed.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_04386f02a7447eed.sql new file mode 100644 index 0000000000000000000000000000000000000000..d385fcd03fe4a2d3c9fdeb1e42a40e24964af0ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_04386f02a7447eed.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_04386f02a7447eed +-- problem_id: v2p_n2_5b1757c796c11dbf +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + "angle_of_attack", + SUM(CAST("free_stream_velocity" AS REAL)) AS total_measure, + SUM(CAST("free_stream_velocity" AS REAL)) * 100.0 + / SUM(SUM(CAST("free_stream_velocity" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "angle_of_attack" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_0ab63b1ff4fc51a2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_0ab63b1ff4fc51a2.sql new file mode 100644 index 0000000000000000000000000000000000000000..82566cce70b77e121fc0704b0fa0a3daab373810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_0ab63b1ff4fc51a2.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n2_0ab63b1ff4fc51a2 +-- problem_id: v2p_n2_885b6227f2c50511 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + SUM(CAST("chord_length" AS REAL)) AS "total_measure" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_118760eb21901351.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_118760eb21901351.sql new file mode 100644 index 0000000000000000000000000000000000000000..91f68fcd3b0d41f40117a0d543328e36f4769da2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_118760eb21901351.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_118760eb21901351 +-- problem_id: v2p_n2_6391407774d03302 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + "sound_pressure_level", + SUM(CAST("frequency" AS REAL)) AS total_measure, + SUM(CAST("frequency" AS REAL)) * 100.0 / SUM(SUM(CAST("frequency" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "sound_pressure_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_14933a6b6ef0d77a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_14933a6b6ef0d77a.sql new file mode 100644 index 0000000000000000000000000000000000000000..51cda3a5ea9bb0aa4ce42ea15748295bf6c47d5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_14933a6b6ef0d77a.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n2_14933a6b6ef0d77a +-- problem_id: v2p_n2_e7b91a1cb96a3dea +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", + AVG(CASE WHEN "sound_pressure_level" = '127.315' THEN 1 ELSE 0 END) AS condition_rate +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_223f79ba415b8bb5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_223f79ba415b8bb5.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3b4af289a98c11ffc013fecfb6925cacca8a056 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_223f79ba415b8bb5.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n2_223f79ba415b8bb5 +-- problem_id: v2p_n2_b050a8c8d3e3a26d +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("displacement_thickness" AS REAL) AS "displacement_thickness", + NTILE(10) OVER (ORDER BY CAST("displacement_thickness" AS REAL) DESC) AS tail_bucket + FROM "n2" +) +SELECT "displacement_thickness" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "displacement_thickness" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_25475fa355923461.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_25475fa355923461.sql new file mode 100644 index 0000000000000000000000000000000000000000..b95153b3e10c65e3b62ec2c294821cf1bd10b9db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_25475fa355923461.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n2_25475fa355923461 +-- problem_id: v2p_n2_872de6c628282881 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "free_stream_velocity", + AVG(CAST("angle_of_attack" AS REAL)) OVER (PARTITION BY "free_stream_velocity") AS avg_measure +FROM "n2" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2628f677034c48af.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2628f677034c48af.sql new file mode 100644 index 0000000000000000000000000000000000000000..1026faeb8be946f6e12a23e73a5a6224a6aea7e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2628f677034c48af.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_2628f677034c48af +-- problem_id: v2p_n2_294d3e1718f6b624 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "free_stream_velocity", + CAST("displacement_thickness" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "free_stream_velocity" + ORDER BY CAST("displacement_thickness" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "free_stream_velocity" + ) AS "cnt" + FROM "n2" + WHERE "free_stream_velocity" IS NOT NULL + AND "displacement_thickness" IS NOT NULL +), +"positions" AS ( + SELECT + "free_stream_velocity", + "measure_value", + "rn", + "cnt", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) > CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + END AS "upper_rn" + FROM "ranked" +) +SELECT + "free_stream_velocity", + CASE + WHEN MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_value" END) IS NOT NULL + AND MAX(CASE WHEN "rn" = "upper_rn" THEN "measure_value" END) IS NOT NULL + THEN MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_value" END) + + ( + "pos" - "lower_rn" + ) * ( + MAX(CASE WHEN "rn" = "upper_rn" THEN "measure_value" END) + - MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_value" END) + ) + END AS "percentile_measure" +FROM "positions" +GROUP BY "free_stream_velocity", "cnt", "pos", "lower_rn", "upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2670ecf51412edea.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2670ecf51412edea.sql new file mode 100644 index 0000000000000000000000000000000000000000..badf0f03c3e6c329cce311781b46ce4edfc162f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2670ecf51412edea.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_2670ecf51412edea +-- problem_id: v2p_n2_b45110ff93c99f19 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", "displacement_thickness", + SUM(CAST("frequency" AS REAL)) AS total_measure, + SUM(CAST("frequency" AS REAL)) * 100.0 / SUM(SUM(CAST("frequency" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "displacement_thickness" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2bb8a77a626075f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2bb8a77a626075f6.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba3b98e5445e3d79b0609d59ec6d4e774a09d0e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_2bb8a77a626075f6.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n2_2bb8a77a626075f6 +-- problem_id: v2p_n2_05861093ae2ded49 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("displacement_thickness" AS REAL) <= 0.015576 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n2"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_31b832b0865f66e5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_31b832b0865f66e5.sql new file mode 100644 index 0000000000000000000000000000000000000000..82fede71cf2ceb0cb85edf6e1c490f2d8722d34e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_31b832b0865f66e5.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n2_31b832b0865f66e5 +-- problem_id: v2p_n2_41457f4428ac7437 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "free_stream_velocity" AS value_label, COUNT(*) AS support + FROM "n2" + GROUP BY "free_stream_velocity" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_394acd0d470dd4ca.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_394acd0d470dd4ca.sql new file mode 100644 index 0000000000000000000000000000000000000000..8a69ead2e73a6041bd0f3cdabc1c5317912bbcfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_394acd0d470dd4ca.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_394acd0d470dd4ca +-- problem_id: v2p_n2_c49ea9cd9445e219 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", "frequency", + SUM(CAST("chord_length" AS REAL)) AS total_measure, + SUM(CAST("chord_length" AS REAL)) * 100.0 / SUM(SUM(CAST("chord_length" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "frequency" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_3d707855056119f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_3d707855056119f7.sql new file mode 100644 index 0000000000000000000000000000000000000000..e70cc5f04ff956db9dd793d6db0ca2c256937600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_3d707855056119f7.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n2_3d707855056119f7 +-- problem_id: v2p_n2_2034df8537ccf09e +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", SUM(CAST("free_stream_velocity" AS REAL)) AS total_measure +FROM "n2" +GROUP BY "free_stream_velocity" +HAVING SUM(CAST("free_stream_velocity" AS REAL)) > 55.5 +ORDER BY total_measure DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4689c4f8dfe0ce37.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4689c4f8dfe0ce37.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d4d9644c87230c76103f3f88394a6fdd1e1cb0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4689c4f8dfe0ce37.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n2_4689c4f8dfe0ce37 +-- problem_id: v2p_n2_e6897ef5c00f9a67 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + SUM(CAST("chord_length" AS REAL)) AS "total_measure" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4a3ed8bb3c0c0ba8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4a3ed8bb3c0c0ba8.sql new file mode 100644 index 0000000000000000000000000000000000000000..b856f6960ed3afb2427fcf22a8bac123acfe1141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4a3ed8bb3c0c0ba8.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_4a3ed8bb3c0c0ba8 +-- problem_id: v2p_n2_9ffdadda52aa2599 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + "angle_of_attack", + SUM(CAST("free_stream_velocity" AS REAL)) AS total_measure, + SUM(CAST("free_stream_velocity" AS REAL)) * 100.0 / + SUM(SUM(CAST("free_stream_velocity" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "angle_of_attack" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4bda11e1d067b300.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4bda11e1d067b300.sql new file mode 100644 index 0000000000000000000000000000000000000000..4c1b350869944987ac2b4245acfc5091bd21669d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4bda11e1d067b300.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n2_4bda11e1d067b300 +-- problem_id: v2p_n2_5d01241a2e33b9c7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "angle_of_attack", + COUNT(*) AS support, + AVG("frequency") AS avg_response +FROM "n2" +GROUP BY "angle_of_attack" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4c45ab10fd07fbd3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4c45ab10fd07fbd3.sql new file mode 100644 index 0000000000000000000000000000000000000000..73b387eb1bee83f69ecb629fc2289ddc5add4ebc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4c45ab10fd07fbd3.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n2_4c45ab10fd07fbd3 +-- problem_id: v2p_n2_f153ee0d2a417215 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + COUNT(*) AS "support" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "support" ASC, "free_stream_velocity" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4c9360fdbc5d151a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4c9360fdbc5d151a.sql new file mode 100644 index 0000000000000000000000000000000000000000..7ed79f377da030384d15c0d58d6af9aebaca2181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4c9360fdbc5d151a.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_4c9360fdbc5d151a +-- problem_id: v2p_n2_d5b2f8add74446df +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("free_stream_velocity" AS REAL) AS "free_stream_velocity", + CAST("displacement_thickness" AS REAL) AS "displacement_thickness", + ROW_NUMBER() OVER ( + PARTITION BY CAST("free_stream_velocity" AS REAL) + ORDER BY CAST("displacement_thickness" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("free_stream_velocity" AS REAL) + ) AS "cnt" + FROM "n2" + WHERE "free_stream_velocity" IS NOT NULL + AND "displacement_thickness" IS NOT NULL +) +SELECT + "free_stream_velocity", + "displacement_thickness" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CAST(((0.95 * "cnt") + 0.999999999999) AS INTEGER) +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4ccfb3e9f70b2e8a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4ccfb3e9f70b2e8a.sql new file mode 100644 index 0000000000000000000000000000000000000000..9130a7320d138533bc220ad208294208f10b5a17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_4ccfb3e9f70b2e8a.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n2_4ccfb3e9f70b2e8a +-- problem_id: v2p_n2_f33eff0902b0c51f +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", SUM(CAST("angle_of_attack" AS REAL)) AS total_measure +FROM "n2" +GROUP BY "free_stream_velocity" +HAVING SUM(CAST("angle_of_attack" AS REAL)) > 9.9 +ORDER BY total_measure DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5994f44d86e30c56.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5994f44d86e30c56.sql new file mode 100644 index 0000000000000000000000000000000000000000..b56b62bb0ff9154076dcf61d60cec66dc8e301ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5994f44d86e30c56.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n2_5994f44d86e30c56 +-- problem_id: v2p_n2_9f50cfd6b5b7d743 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", COUNT(*) AS "row_count" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5a1b93f01a314fad.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5a1b93f01a314fad.sql new file mode 100644 index 0000000000000000000000000000000000000000..bda380db7376d0254630375fb3666b5c0831db26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5a1b93f01a314fad.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n2_5a1b93f01a314fad +-- problem_id: v2p_n2_734487152862d65e +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + SUM(CAST("displacement_thickness" AS REAL)) AS total_measure +FROM "n2" +GROUP BY "free_stream_velocity" +HAVING SUM(CAST("displacement_thickness" AS REAL)) > 0.015576 +ORDER BY total_measure DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5ac42bd6118a6a87.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5ac42bd6118a6a87.sql new file mode 100644 index 0000000000000000000000000000000000000000..6148dcad0faa8abecdd1c441b22902ab442a2984 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5ac42bd6118a6a87.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n2_5ac42bd6118a6a87 +-- problem_id: v2p_n2_39f04b1e52b94d12 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", SUM(CAST("displacement_thickness" AS REAL)) AS "total_measure" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5cc555421c9e9235.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5cc555421c9e9235.sql new file mode 100644 index 0000000000000000000000000000000000000000..1336272e6fbd8e44c679736758ae01823532adef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5cc555421c9e9235.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n2_5cc555421c9e9235 +-- problem_id: v2p_n2_2f11b34ae1b4e8a4 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("free_stream_velocity" AS REAL) <= 71.3 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n2"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5f98702017898ad5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5f98702017898ad5.sql new file mode 100644 index 0000000000000000000000000000000000000000..8d9c58ebaec5709650a790d8772fc6372babb57f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_5f98702017898ad5.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n2_5f98702017898ad5 +-- problem_id: v2p_n2_bdde40d791e8b1d1 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", COUNT(*) AS "row_count" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_642bc75d127cca15.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_642bc75d127cca15.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf0b88eb5c6a598563de40ecb9db962f7607d64d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_642bc75d127cca15.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_642bc75d127cca15 +-- problem_id: v2p_n2_2f35e60a2d97370d +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", SUM(CAST("free_stream_velocity" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."free_stream_velocity", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_64dc5e09fb3c6c5b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_64dc5e09fb3c6c5b.sql new file mode 100644 index 0000000000000000000000000000000000000000..aeab57af03500998e376b03e04f454efc152522e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_64dc5e09fb3c6c5b.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n2_64dc5e09fb3c6c5b +-- problem_id: v2p_n2_d1dadcf1b3826890 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", COUNT(*) AS "row_count" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6607f5545408098a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6607f5545408098a.sql new file mode 100644 index 0000000000000000000000000000000000000000..39ec6b01067535bb5d6cc0d6ee07160f0963f7e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6607f5545408098a.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_6607f5545408098a +-- problem_id: v2p_n2_cbb1fe16a340c530 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", SUM(CAST("frequency" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."free_stream_velocity", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6637970ade69ba2f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6637970ade69ba2f.sql new file mode 100644 index 0000000000000000000000000000000000000000..fb0d1e297be197c098ff5bb64c2d90e6cbb59bf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6637970ade69ba2f.sql @@ -0,0 +1,36 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_6637970ade69ba2f +-- problem_id: v2p_n2_047f5bafd732a735 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("free_stream_velocity" AS REAL) AS "free_stream_velocity", + CAST("chord_length" AS REAL) AS "chord_length", + ROW_NUMBER() OVER ( + PARTITION BY CAST("free_stream_velocity" AS REAL) + ORDER BY CAST("chord_length" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("free_stream_velocity" AS REAL) + ) AS "cnt" + FROM "n2" + WHERE "free_stream_velocity" IS NOT NULL + AND "chord_length" IS NOT NULL +) +SELECT + "free_stream_velocity", + MIN("chord_length") AS "percentile_measure" +FROM "ranked" +WHERE "rn" >= 0.9 * "cnt" + AND "cnt" >= 5 +GROUP BY "free_stream_velocity" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_67581bf6eadb6dfb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_67581bf6eadb6dfb.sql new file mode 100644 index 0000000000000000000000000000000000000000..6f75301438cb4300be7b87c493fe6916741571e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_67581bf6eadb6dfb.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n2_67581bf6eadb6dfb +-- problem_id: v2p_n2_a6d4aa399284f58a +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "free_stream_velocity", + AVG(CAST("frequency" AS REAL)) OVER (PARTITION BY "free_stream_velocity") AS avg_measure +FROM "n2" +WHERE "free_stream_velocity" IS NOT NULL + AND "free_stream_velocity" <> '' + AND "frequency" IS NOT NULL + AND "frequency" <> '' +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_675f5c79462e1915.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_675f5c79462e1915.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8a6344e5a833bb836387e01b1016a35991fea9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_675f5c79462e1915.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_675f5c79462e1915 +-- problem_id: v2p_n2_33e3d43f613b9ab2 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", "displacement_thickness", + SUM(CAST("free_stream_velocity" AS REAL)) AS "total_measure", + SUM(CAST("free_stream_velocity" AS REAL)) * 100.0 + / SUM(SUM(CAST("free_stream_velocity" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS "share_within_group" +FROM "n2" +GROUP BY "free_stream_velocity", "displacement_thickness" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6ab3eb68f5a031a8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6ab3eb68f5a031a8.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ec6d6a8776c192ed3172616d4437cf1e5fde926 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6ab3eb68f5a031a8.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n2_6ab3eb68f5a031a8 +-- problem_id: v2p_n2_197730d20b58c0ff +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "chord_length", + NTILE(10) OVER (ORDER BY CAST("chord_length" AS REAL) DESC) AS tail_bucket + FROM "n2" +) +SELECT + "chord_length" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("chord_length" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6bbca1d4cfd31bc8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6bbca1d4cfd31bc8.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e51a977bca51c3d66de31f9867b2c3e813e8a26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6bbca1d4cfd31bc8.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_6bbca1d4cfd31bc8 +-- problem_id: v2p_n2_a781563a1bdf09fb +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", SUM(CAST("displacement_thickness" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."free_stream_velocity", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6fa07ea420b58fee.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6fa07ea420b58fee.sql new file mode 100644 index 0000000000000000000000000000000000000000..5d3b86f46b66e6fde1eff5955759ebb047db4138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_6fa07ea420b58fee.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n2_6fa07ea420b58fee +-- problem_id: v2p_n2_5977abf61f06a15b +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", + AVG(CASE WHEN "chord_length" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_723e8374fffd84fd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_723e8374fffd84fd.sql new file mode 100644 index 0000000000000000000000000000000000000000..824ad53ae26561df6a096bd772e01ca736a4e3ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_723e8374fffd84fd.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_723e8374fffd84fd +-- problem_id: v2p_n2_5623ade2415a588a +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", "sound_pressure_level", + SUM(CAST("angle_of_attack" AS REAL)) AS total_measure, + SUM(CAST("angle_of_attack" AS REAL)) * 100.0 / SUM(SUM(CAST("angle_of_attack" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "sound_pressure_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_76d55bc004713413.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_76d55bc004713413.sql new file mode 100644 index 0000000000000000000000000000000000000000..66b7c8e55717b922b4021c0731388711bd0bc029 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_76d55bc004713413.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n2_76d55bc004713413 +-- problem_id: v2p_n2_42a6a8066157bd45 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + SUM(CAST("angle_of_attack" AS REAL)) AS "total_measure" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_790c19b3ac045859.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_790c19b3ac045859.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ea553f9ebfab19fb2ea06389422e4e2c5adeecc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_790c19b3ac045859.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_790c19b3ac045859 +-- problem_id: v2p_n2_5b78c93ca55869b1 +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST("free_stream_velocity" AS REAL) AS "free_stream_velocity", + MAX(CAST("free_stream_velocity" AS REAL)) AS "percentile_measure" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_79f2542c86d54f27.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_79f2542c86d54f27.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b5effecffa614f91e32cc875a3f072b53d34eee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_79f2542c86d54f27.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n2_79f2542c86d54f27 +-- problem_id: v2p_n2_cfcdeedc1548d780 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + COUNT(*) AS support +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY support ASC, "free_stream_velocity" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7ac1a7f4c4611fa7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7ac1a7f4c4611fa7.sql new file mode 100644 index 0000000000000000000000000000000000000000..d5fd1bddf05b63ec311e3986db0a732ccb2cb04c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7ac1a7f4c4611fa7.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n2_7ac1a7f4c4611fa7 +-- problem_id: v2p_n2_d1737dfe48af1b49 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", + AVG(CASE WHEN "sound_pressure_level" = '126.540' THEN 1 ELSE 0 END) AS condition_rate +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7db01c4308dbe950.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7db01c4308dbe950.sql new file mode 100644 index 0000000000000000000000000000000000000000..e74e37d483b40be50c6100e02de2b0dc3bc2536a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7db01c4308dbe950.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_7db01c4308dbe950 +-- problem_id: v2p_n2_3c0e68074383f9ba +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "free_stream_velocity", + SUM(CAST("chord_length" AS REAL)) AS "group_value" + FROM "n2" + GROUP BY "free_stream_velocity" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."free_stream_velocity", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7ea27444a78507f4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7ea27444a78507f4.sql new file mode 100644 index 0000000000000000000000000000000000000000..36938e875198aebdee3091eb5481610804f3e456 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_7ea27444a78507f4.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n2_7ea27444a78507f4 +-- problem_id: v2p_n2_d16d73895ec02cd3 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "free_stream_velocity", + AVG(CAST("displacement_thickness" AS REAL)) OVER (PARTITION BY "free_stream_velocity") AS avg_measure +FROM "n2" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_82adf397fd8177ac.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_82adf397fd8177ac.sql new file mode 100644 index 0000000000000000000000000000000000000000..a7febda442cd8c0d87681dc02cacd068de21b874 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_82adf397fd8177ac.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n2_82adf397fd8177ac +-- problem_id: v2p_n2_7dfbba6032ddf411 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", + SUM(CASE WHEN "sound_pressure_level" = '126.540' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "sound_pressure_level" = '127.315' THEN 1 ELSE 0 END) AS denominator_count + FROM "n2" + GROUP BY "free_stream_velocity" +) +SELECT "free_stream_velocity", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_87dac5ccdf780d87.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_87dac5ccdf780d87.sql new file mode 100644 index 0000000000000000000000000000000000000000..27179405e3f5555bd43994d75830a1b88e3825c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_87dac5ccdf780d87.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_87dac5ccdf780d87 +-- problem_id: v2p_n2_c486d7ef266a3406 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", SUM(CAST("displacement_thickness" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."free_stream_velocity", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8a77e9493b76ed11.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8a77e9493b76ed11.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc347c822bea42acdcb3fc157052e1eb713ea39e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8a77e9493b76ed11.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_8a77e9493b76ed11 +-- problem_id: v2p_n2_8893977b2f3f2e6f +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + "frequency", + SUM(CAST("angle_of_attack" AS REAL)) AS "total_measure", + SUM(CAST("angle_of_attack" AS REAL)) * 100.0 + / SUM(SUM(CAST("angle_of_attack" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS "share_within_group" +FROM "n2" +GROUP BY "free_stream_velocity", "frequency" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8a9de2cdf7acb1ac.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8a9de2cdf7acb1ac.sql new file mode 100644 index 0000000000000000000000000000000000000000..15af10ddd886fb30f7fc38b86d2b17387171698b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8a9de2cdf7acb1ac.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n2_8a9de2cdf7acb1ac +-- problem_id: v2p_n2_e391e4d60aad3b36 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "angle_of_attack", + COUNT(*) AS support, + AVG("free_stream_velocity") AS avg_response +FROM "n2" +GROUP BY "angle_of_attack" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8d8a936bac365ca2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8d8a936bac365ca2.sql new file mode 100644 index 0000000000000000000000000000000000000000..004672c4b62ec6012ec6231fe71aa57c5b316587 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8d8a936bac365ca2.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n2_8d8a936bac365ca2 +-- problem_id: v2p_n2_528d79657061cf65 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("frequency" AS REAL) <= 4000.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold +FROM "n2"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8ff83c2f543fbaf7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8ff83c2f543fbaf7.sql new file mode 100644 index 0000000000000000000000000000000000000000..cbf6ce1acff21c57f379a89f7d4c645385c4d6cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_8ff83c2f543fbaf7.sql @@ -0,0 +1,39 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_8ff83c2f543fbaf7 +-- problem_id: v2p_n2_2697df5702dbf29f +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "free_stream_velocity", + CAST("angle_of_attack" AS REAL) AS "angle_of_attack_value", + ROW_NUMBER() OVER ( + PARTITION BY "free_stream_velocity" + ORDER BY CAST("angle_of_attack" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "free_stream_velocity" + ) AS "cnt" + FROM "n2" + WHERE "free_stream_velocity" IS NOT NULL + AND "angle_of_attack" IS NOT NULL +) +SELECT + "free_stream_velocity", + "angle_of_attack_value" AS "percentile_measure" +FROM "ranked" +WHERE "cnt" >= 5 + AND "rn" = CAST(0.95 * "cnt" AS INTEGER) + + CASE + WHEN 0.95 * "cnt" > CAST(0.95 * "cnt" AS INTEGER) THEN 1 + ELSE 0 + END +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_9006ee98cb72549d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_9006ee98cb72549d.sql new file mode 100644 index 0000000000000000000000000000000000000000..2c2febe2e88b9da9e8f02e96fd63fa8b49c4d0b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_9006ee98cb72549d.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n2_9006ee98cb72549d +-- problem_id: v2p_n2_6a53ef1ae616d5d1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + COUNT(*) AS support +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY support ASC, "free_stream_velocity" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_91487ed6df141cbc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_91487ed6df141cbc.sql new file mode 100644 index 0000000000000000000000000000000000000000..66cb5b282a51d29647d339c9b75d238a91a4660b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_91487ed6df141cbc.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n2_91487ed6df141cbc +-- problem_id: v2p_n2_a32bf91f2588bc6b +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + COUNT(*) AS "support" +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY "support" ASC, "free_stream_velocity" +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_94073eda293fac6b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_94073eda293fac6b.sql new file mode 100644 index 0000000000000000000000000000000000000000..ac266b81235a62cfe51e8db49fa08eead427bd15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_94073eda293fac6b.sql @@ -0,0 +1,75 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_94073eda293fac6b +-- problem_id: v2p_n2_5361092569e0e343 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST("free_stream_velocity" AS REAL) AS "free_stream_velocity", + CAST("displacement_thickness" AS REAL) AS "displacement_thickness" + FROM "n2" + WHERE "free_stream_velocity" IS NOT NULL + AND "displacement_thickness" IS NOT NULL + AND TRIM("free_stream_velocity") <> '' + AND TRIM("displacement_thickness") <> '' +), +"ordered" AS ( + SELECT + "free_stream_velocity", + "displacement_thickness", + ROW_NUMBER() OVER ( + PARTITION BY "free_stream_velocity" + ORDER BY "displacement_thickness" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "free_stream_velocity" + ) AS "cnt" + FROM "base" +), +"targets" AS ( + SELECT DISTINCT + "free_stream_velocity", + "cnt", + (1.0 + (0.9 * ("cnt" - 1))) AS "target_rn", + CAST((1.0 + (0.9 * ("cnt" - 1))) AS INTEGER) AS "floor_rn", + CASE + WHEN (1.0 + (0.9 * ("cnt" - 1))) > CAST((1.0 + (0.9 * ("cnt" - 1))) AS INTEGER) + THEN CAST((1.0 + (0.9 * ("cnt" - 1))) AS INTEGER) + 1 + ELSE CAST((1.0 + (0.9 * ("cnt" - 1))) AS INTEGER) + END AS "ceil_rn" + FROM "ordered" + WHERE "cnt" >= 5 +), +"picked" AS ( + SELECT + t."free_stream_velocity", + t."target_rn", + t."floor_rn", + t."ceil_rn", + MAX(CASE WHEN o."rn" = t."floor_rn" THEN o."displacement_thickness" END) AS "floor_val", + MAX(CASE WHEN o."rn" = t."ceil_rn" THEN o."displacement_thickness" END) AS "ceil_val" + FROM "targets" AS t + JOIN "ordered" AS o + ON o."free_stream_velocity" = t."free_stream_velocity" + GROUP BY + t."free_stream_velocity", + t."target_rn", + t."floor_rn", + t."ceil_rn" +) +SELECT + "free_stream_velocity", + CASE + WHEN "floor_rn" = "ceil_rn" THEN "floor_val" + ELSE "floor_val" + (("target_rn" - "floor_rn") * ("ceil_val" - "floor_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC, "free_stream_velocity" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_983bc98bf7fed977.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_983bc98bf7fed977.sql new file mode 100644 index 0000000000000000000000000000000000000000..a083427309070087abc1aae23edc7d5b9776dc99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_983bc98bf7fed977.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n2_983bc98bf7fed977 +-- problem_id: v2p_n2_8d1f54b5a4574485 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "free_stream_velocity", + NTILE(10) OVER (ORDER BY CAST("free_stream_velocity" AS REAL) DESC) AS "tail_bucket" + FROM "n2" +) +SELECT "free_stream_velocity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("free_stream_velocity" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_9d2950c15494a5ef.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_9d2950c15494a5ef.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd2fcfda3116bcc0b752331f7db46bb79bec76a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_9d2950c15494a5ef.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n2_9d2950c15494a5ef +-- problem_id: v2p_n2_98322bde0c7feaf4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "displacement_thickness", + COUNT(*) AS support, + AVG("angle_of_attack") AS avg_response +FROM "n2" +GROUP BY "displacement_thickness" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_a8d2e68dd76c94db.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_a8d2e68dd76c94db.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b6bc6983a04fee48ad5c9c038794f6625f0d458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_a8d2e68dd76c94db.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n2_a8d2e68dd76c94db +-- problem_id: v2p_n2_0ac882f936d322ae +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "free_stream_velocity", + AVG(CAST("displacement_thickness" AS REAL)) OVER (PARTITION BY "free_stream_velocity") AS avg_measure +FROM "n2" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_abdafb1c246f676e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_abdafb1c246f676e.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d9455d13d34942c5d475df39b4365309be72286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_abdafb1c246f676e.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_abdafb1c246f676e +-- problem_id: v2p_n2_d1268865d6ab9fef +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + "angle_of_attack", + SUM(CAST("chord_length" AS REAL)) AS total_measure, + SUM(CAST("chord_length" AS REAL)) * 100.0 / + SUM(SUM(CAST("chord_length" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "angle_of_attack" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_acb4d85fbb6dd647.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_acb4d85fbb6dd647.sql new file mode 100644 index 0000000000000000000000000000000000000000..ccb11abdfd44dbb566a3ccb194a02fca67a64ebb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_acb4d85fbb6dd647.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_acb4d85fbb6dd647 +-- problem_id: v2p_n2_adf027ce1193d5f3 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", "sound_pressure_level", + SUM(CAST("frequency" AS REAL)) AS total_measure, + SUM(CAST("frequency" AS REAL)) * 100.0 / SUM(SUM(CAST("frequency" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "sound_pressure_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ad1783faf3c1cf2e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ad1783faf3c1cf2e.sql new file mode 100644 index 0000000000000000000000000000000000000000..dbe5b9856ef7360ba443261f3ea1e6f6eeea7441 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ad1783faf3c1cf2e.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n2_ad1783faf3c1cf2e +-- problem_id: v2p_n2_baaef73c4f8c45fe +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "free_stream_velocity", + CAST("frequency" AS REAL) AS "frequency_value", + ROW_NUMBER() OVER ( + PARTITION BY "free_stream_velocity" + ORDER BY CAST("frequency" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "free_stream_velocity" + ) AS "cnt" + FROM "n2" + WHERE "free_stream_velocity" IS NOT NULL + AND TRIM("free_stream_velocity") <> '' + AND "frequency" IS NOT NULL + AND TRIM("frequency") <> '' +), +"positions" AS ( + SELECT DISTINCT + "free_stream_velocity", + "cnt", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) = CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"bounds" AS ( + SELECT + p."free_stream_velocity", + p."cnt", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."frequency_value" END) AS "lower_value", + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."frequency_value" END) AS "upper_value" + FROM "positions" AS p + JOIN "ranked" AS r + ON r."free_stream_velocity" = p."free_stream_velocity" + GROUP BY + p."free_stream_velocity", + p."cnt", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "free_stream_velocity", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_b2b35d261ad1c476.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_b2b35d261ad1c476.sql new file mode 100644 index 0000000000000000000000000000000000000000..0063d98b6be4ce64f91d8bf7173bb593326ee531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_b2b35d261ad1c476.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n2_b2b35d261ad1c476 +-- problem_id: v2p_n2_a15e7ae9fa430f44 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + "displacement_thickness", + SUM(CAST("displacement_thickness" AS REAL)) AS total_measure, + SUM(CAST("displacement_thickness" AS REAL)) * 100.0 / + SUM(SUM(CAST("displacement_thickness" AS REAL))) OVER (PARTITION BY "free_stream_velocity") AS share_within_group +FROM "n2" +GROUP BY "free_stream_velocity", "displacement_thickness" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_be29cfb9431d4d82.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_be29cfb9431d4d82.sql new file mode 100644 index 0000000000000000000000000000000000000000..01dfa46458cf122bd215dce4ea654012b559891a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_be29cfb9431d4d82.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n2_be29cfb9431d4d82 +-- problem_id: v2p_n2_c1994672ac4d11a6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + AVG(CASE WHEN CAST("sound_pressure_level" AS REAL) = 127.315 THEN 1.0 ELSE 0.0 END) AS condition_rate +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_c643c423764e185b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_c643c423764e185b.sql new file mode 100644 index 0000000000000000000000000000000000000000..f14c219b6a00583b5886c5fa7caeb7318bec9780 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_c643c423764e185b.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_c643c423764e185b +-- problem_id: v2p_n2_94d4a00752e9df25 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", SUM(CAST("chord_length" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."free_stream_velocity", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ccfb16104f80849a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ccfb16104f80849a.sql new file mode 100644 index 0000000000000000000000000000000000000000..deac261b23a3ce21decb5cec7e8ef8ee223e2639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ccfb16104f80849a.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n2_ccfb16104f80849a +-- problem_id: v2p_n2_b74c29fb3635fbc4 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "free_stream_velocity", + AVG(CAST("displacement_thickness" AS REAL)) OVER (PARTITION BY "free_stream_velocity") AS avg_measure +FROM "n2" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_d27c329b2b3b961f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_d27c329b2b3b961f.sql new file mode 100644 index 0000000000000000000000000000000000000000..389eaccae576dc0567df5d50e5e0210916347b95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_d27c329b2b3b961f.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n2_d27c329b2b3b961f +-- problem_id: v2p_n2_3a1e441fe5e86e23 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "sound_pressure_level", + COUNT(*) AS support, + AVG("angle_of_attack") AS avg_response +FROM "n2" +GROUP BY "sound_pressure_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_dca58e2be7ff1837.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_dca58e2be7ff1837.sql new file mode 100644 index 0000000000000000000000000000000000000000..f9f0db46d21fa4352f8d3a12ce7044537a7c9593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_dca58e2be7ff1837.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n2_dca58e2be7ff1837 +-- problem_id: v2p_n2_666c890ed76b0802 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "displacement_thickness", + COUNT(*) AS support, + AVG("chord_length") AS avg_response +FROM "n2" +GROUP BY "displacement_thickness" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_eb543dc7830d3c0a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_eb543dc7830d3c0a.sql new file mode 100644 index 0000000000000000000000000000000000000000..90a96139212ff8edab6e884157b625529a22090f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_eb543dc7830d3c0a.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_eb543dc7830d3c0a +-- problem_id: v2p_n2_c6a087a85830f1a8 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", SUM(CAST("chord_length" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."free_stream_velocity", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ecdec29d416a6f5b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ecdec29d416a6f5b.sql new file mode 100644 index 0000000000000000000000000000000000000000..230eda8fa1e562b140f7a174a1d4f6082a8f628e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ecdec29d416a6f5b.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n2_ecdec29d416a6f5b +-- problem_id: v2p_n2_038af0c41b0bce7e +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + SUM(CAST("angle_of_attack" AS REAL)) AS "total_measure" +FROM "n2" +GROUP BY "free_stream_velocity" +HAVING SUM(CAST("angle_of_attack" AS REAL)) > 8.9 +ORDER BY "total_measure" DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ef1a1eba061c8458.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ef1a1eba061c8458.sql new file mode 100644 index 0000000000000000000000000000000000000000..da26da0adc32d28fbad38b2062b0afc8fa4954da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ef1a1eba061c8458.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n2_ef1a1eba061c8458 +-- problem_id: v2p_n2_c40ffc66e8411edd +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("free_stream_velocity" AS REAL) <= 71.3 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold +FROM "n2"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f1d12bace0e7daa5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f1d12bace0e7daa5.sql new file mode 100644 index 0000000000000000000000000000000000000000..a68d9960970507b637dad2b1abb6770e927e7a5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f1d12bace0e7daa5.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n2_f1d12bace0e7daa5 +-- problem_id: v2p_n2_b77fbba383c957a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "free_stream_velocity", SUM(CAST("displacement_thickness" AS REAL)) AS total_measure +FROM "n2" +GROUP BY "free_stream_velocity" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f2be48deacc69e79.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f2be48deacc69e79.sql new file mode 100644 index 0000000000000000000000000000000000000000..57d165cc989a52d7daa290a8a8d52953da14dc8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f2be48deacc69e79.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n2_f2be48deacc69e79 +-- problem_id: v2p_n2_8849721c2c2ef662 +-- realization_mode: agent +-- source_kind: agent +SELECT + "free_stream_velocity", + SUM(CAST("free_stream_velocity" AS REAL)) AS total_measure +FROM "n2" +GROUP BY "free_stream_velocity" +HAVING SUM(CAST("free_stream_velocity" AS REAL)) > 71.3 +ORDER BY total_measure DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f37f89cb9ebb5957.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f37f89cb9ebb5957.sql new file mode 100644 index 0000000000000000000000000000000000000000..06e71802920663b3321e1d7e0126b6b6367b8b6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_f37f89cb9ebb5957.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n2_f37f89cb9ebb5957 +-- problem_id: v2p_n2_d850657c4e56fb2e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "free_stream_velocity", + SUM(CAST("free_stream_velocity" AS REAL)) AS group_value + FROM "n2" + GROUP BY "free_stream_velocity" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."free_stream_velocity", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ff1857271476a7ce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ff1857271476a7ce.sql new file mode 100644 index 0000000000000000000000000000000000000000..229dd50d959a01b52293c79613a27e0fc9561363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/sql/v2q_n2_ff1857271476a7ce.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n2 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n2_ff1857271476a7ce +-- problem_id: v2p_n2_cd7f5605084add16 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "free_stream_velocity", + SUM(CASE WHEN "chord_length" = '0.0254' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "chord_length" = '0.1524' THEN 1 ELSE 0 END) AS denominator_count + FROM "n2" + GROUP BY "free_stream_velocity" +) +SELECT "free_stream_velocity", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS "condition_ratio" +FROM grouped +ORDER BY "condition_ratio" DESC;