diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce7cd8717b0ed6edb9bbfa0efc7a6a36591f7044 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "Yes", "group_value": 98845.8}, {"ever_married": "No", "group_value": 42991.1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..51fb3f14115eca943182e0e0bda185465a713f15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_0088d25a69094734 +-- problem_id: v2p_m7_5073218d3b829874 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS group_value + FROM "m7" + WHERE NULLIF("bmi", '') IS NOT NULL + GROUP BY "ever_married" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."ever_married", 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/m7/artifacts/v2q_m7_0088d25a69094734/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b85608e33929c232ae96b5ccc369091cb372ce7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"ever_married\", \"group_value\"], \"rows\": [{\"ever_married\": \"Yes\", \"group_value\": 98845.8}, {\"ever_married\": \"No\", \"group_value\": 42991.1}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4651107c0f8620769952a3064dea82c5f80baec6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:47:26.302126+00:00", + "ended_at": "2026-05-19T15:47:42.999400+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0088d25a69094734", + "problem_id": "v2p_m7_5073218d3b829874", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ever_married, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0088d25a69094734.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6486a2a272ce7ca07f4a7dfe504fc3e585c53ac3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:42.991926+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16686.75, "started_at": "2026-05-19T15:47:26.303753+00:00", "ended_at": "2026-05-19T15:47:42.990553+00:00", "prompt_metrics": {"chars": 8211, "bytes_utf8": 8211, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eaca9d5e0a1a3d60c2797ea48a4d4d379d8b7aa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0088d25a69094734/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_01d4023046378f99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eea14a463ec110b08cb08b1711764c6ec3f1b0b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Other", "age": "26", "total_measure": 56156, "share_within_group": 100.0}, {"gender": "Female", "age": "78", "total_measure": 2376968, "share_within_group": 2.1763085038765317}, {"gender": "Female", "age": "45", "total_measure": 2282593, "share_within_group": 2.089900476905471}, {"gender": "Male", "age": "53", "total_measure": 1602110, "share_within_group": 2.0717892946151726}, {"gender": "Male", "age": "57", "total_measure": 1595453, "share_within_group": 2.063180708853737}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..453727edd30e62f8d84ed2036a42c5d6d47622c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/generated_sql.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: m7 +-- 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_m7_01d4023046378f99 +-- problem_id: v2p_m7_71c2404dcc21d335 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "age", + SUM(CAST("id" AS NUMERIC)) AS total_measure, + SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "gender") AS share_within_group +FROM "m7" +GROUP BY "gender", "age" +ORDER BY share_within_group DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71f044ad876a8eadb73177d1e8fd3e18c17597d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gender\": \"Other\", \"age\": \"26\", \"total_measure\": 56156, \"share_within_group\": 100.0}, {\"gender\": \"Female\", \"age\": \"78\", \"total_measure\": 2376968, \"share_within_group\": 2.1763085038765317}, {\"gender\": \"Female\", \"age\": \"45\", \"total_measure\": 2282593, \"share_within_group\": 2.089900476905471}, {\"gender\": \"Male\", \"age\": \"53\", \"total_measure\": 1602110, \"share_within_group\": 2.0717892946151726}, {\"gender\": \"Male\", \"age\": \"57\", \"total_measure\": 1595453, \"share_within_group\": 2.063180708853737}, {\"gender\": \"Male\", \"age\": \"54\", \"total_measure\": 1521130, \"share_within_group\": 1.9670689588842072}, {\"gender\": \"Male\", \"age\": \"61\", \"total_measure\": 1514976, \"share_within_group\": 1.9591108340868701}, {\"gender\": \"Female\", \"age\": \"79\", \"total_measure\": 2081640, \"share_within_group\": 1.9059115789566978}, {\"gender\": \"Female\", \"age\": \"52\", \"total_measure\": 2042678, \"share_within_group\": 1.8702386830960729}, {\"gender\": \"Female\", \"age\": \"57\", \"total_measure\": 2023427, \"share_within_group\": 1.8526128189665907}, {\"gender\": \"Male\", \"age\": \"55\", \"total_measure\": 1414898, \"share_within_group\": 1.8296936723273798}, {\"gender\": \"Male\", \"age\": \"52\", \"total_measure\": 1398333, \"share_within_group\": 1.8082724280524545}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..89578b7f5e7798bf6186e633e4aad033e7e23f43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:37:48.435871+00:00", + "ended_at": "2026-05-19T15:38:01.484924+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_01d4023046378f99", + "problem_id": "v2p_m7_71c2404dcc21d335", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "item_col": "age", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_01d4023046378f99.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e761d51481edefc2cabcc76d007f4388bb2fa42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:01.478870+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13040.65, "started_at": "2026-05-19T15:37:48.437397+00:00", "ended_at": "2026-05-19T15:38:01.478078+00:00", "prompt_metrics": {"chars": 8050, "bytes_utf8": 8050, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dcbb52817aff2ad4813f20af353dd63af6fbfd56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_01d4023046378f99/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_028af02a750d40c1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..16942ef8394a163dd3125d58647d365ab11cc21c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=gender. +Result preview: [{"gender": "Other", "support": 1}, {"gender": "Male", "support": 2115}, {"gender": "Female", "support": 2994}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c6797a57ca4831639be2f8e84baaea04b1dbd586 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/generated_sql.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: m7 +-- 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_m7_028af02a750d40c1 +-- problem_id: v2p_m7_c949d66cd97a73ee +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + COUNT(*) AS support +FROM "m7" +GROUP BY "gender" +ORDER BY support ASC, "gender" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bdcdb6ea0dff316d86cdb2fc9c45ba04407a01d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"support\"], \"rows\": [{\"gender\": \"Other\", \"support\": 1}, {\"gender\": \"Male\", \"support\": 2115}, {\"gender\": \"Female\", \"support\": 2994}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe1059e5361e0d23a0db2df013185e4543f4a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:04:07.734939+00:00", + "ended_at": "2026-05-19T16:04:34.417826+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_028af02a750d40c1", + "problem_id": "v2p_m7_c949d66cd97a73ee", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=gender.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_028af02a750d40c1.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68a3e4b4800884192c21034d54fdc4eb9dbaf157 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:11.086252+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3349.58, "started_at": "2026-05-19T16:04:07.735809+00:00", "ended_at": "2026-05-19T16:04:11.085416+00:00", "prompt_metrics": {"chars": 7646, "bytes_utf8": 7646, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-f0e2-78e1-8f2a-baf079931529\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:34.413261+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22324.41, "started_at": "2026-05-19T16:04:12.087163+00:00", "ended_at": "2026-05-19T16:04:34.411620+00:00", "prompt_metrics": {"chars": 7646, "bytes_utf8": 7646, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0b4d9d5d277b31ee69041e39c020ddc5316c609a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_028af02a750d40c1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_035483ed5abfa740/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5cec9ca67e427af4d4f7bd81945e83522201a32b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:57:42.028091+00:00", + "ended_at": "2026-05-19T15:57:49.584048+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_035483ed5abfa740", + "problem_id": "v2p_m7_61cf28105c17fcf9", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb921aa981c092b64d846be7cd8864be820dd1be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_035483ed5abfa740/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:45.318716+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3289.03, "started_at": "2026-05-19T15:57:42.028985+00:00", "ended_at": "2026-05-19T15:57:45.318051+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-0e29-7362-8055-716be10ec868\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:57:49.583930+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3263.11, "started_at": "2026-05-19T15:57:46.320064+00:00", "ended_at": "2026-05-19T15:57:49.583216+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-1ed3-7981-b588-ed294fbeeb96\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..98554bc98ef9ed79c8246bd3611f8d22771059a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"empirical_cdf_at_threshold": 0.7596868884540118}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..63c522e17c3665c0de60ec56891729e8dbe7a2ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/generated_sql.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: m7 +-- 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_m7_03cbd3b43bfb5aca +-- problem_id: v2p_m7_24ee7c37e3723747 +-- realization_mode: agent +-- source_kind: agent +SELECT 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" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54637ae96baa503e72f1a282dfe4419f466a2df0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN 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\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7596868884540118}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e0f20e3a8210c822838a0a70f2220dd1977e2a9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:02:27.455388+00:00", + "ended_at": "2026-05-19T16:02:41.495562+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_03cbd3b43bfb5aca", + "problem_id": "v2p_m7_24ee7c37e3723747", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=109" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_03cbd3b43bfb5aca.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a8ce71ef90656f26a82d4f9ca87d3740e9f4cfc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:30.743182+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3285.56, "started_at": "2026-05-19T16:02:27.456735+00:00", "ended_at": "2026-05-19T16:02:30.742329+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-692b-7ae1-a440-7208c977cb99\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:41.489231+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9743.49, "started_at": "2026-05-19T16:02:31.744129+00:00", "ended_at": "2026-05-19T16:02:41.487653+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..44b89f7374a169d78c189c7fd9cf97c8f7506d27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_03cbd3b43bfb5aca/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_040d5de4a5685606/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd0b94b0e36c17b0f4a649a02b66a718e9affbd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8054, "bytes_utf8": 8054, "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": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14394, "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_040d5de4a5685606/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b140943deb91338837e21da3a5fa3859746ddb46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/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_040d5de4a5685606", + "api_calls": 0, + "input_tokens": 14394, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15086, + "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": 13425.71, + "sql_execution_elapsed_ms_total": 11.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/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_040d5de4a5685606/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..58569013551c3f65142f010d1965bcb9749a0a33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:12.796459+00:00", + "ended_at": "2026-05-19T15:36:26.222213+00:00", + "elapsed_ms": 13425.71, + "prompt_metrics": { + "chars": 8054, + "bytes_utf8": 8054, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1020, + "bytes_utf8": 1020, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 624, + "bytes_utf8": 624, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14394, + "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_040d5de4a5685606/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d80f107e6b8476f3858b6900526f147f86ada854 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/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=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": 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}, {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_040d5de4a5685606/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f19e7e4bb74f30a9fead79ed62ec034a53d13609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-61f2-7d22-bd2d-93a4a2043dc6"} +{"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;\",\"notes\":\"Applied the provided within-group share template with group_col=\\\"work_type\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". Casted \\\"id\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14394,"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_040d5de4a5685606/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe0c269922e9c05f9b36902a725d0454333b9c95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/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;","notes":"Applied the provided within-group share template with group_col=\"work_type\", item_col=\"age\", and measure_col=\"id\". Casted \"id\" from TEXT to REAL and treated 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_040d5de4a5685606/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/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_05b6fd3ca209a6ec/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..47c084ef3c0a0836de5dbecde2131d6304604add --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/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": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 1861, "reasoning_output_tokens": 1617}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bc0fc587d5842e132a0943f57b8ff28b884bf426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/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_05b6fd3ca209a6ec", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1861, + "total_tokens": 16176, + "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": 31393.73, + "sql_execution_elapsed_ms_total": 11.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/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_05b6fd3ca209a6ec/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..46e84a6aeb4180b5f5f15f04ce15d4c289be2505 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:31.845906+00:00", + "ended_at": "2026-05-19T15:59:03.239672+00:00", + "elapsed_ms": 31393.73, + "prompt_metrics": { + "chars": 7841, + "bytes_utf8": 7841, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1275, + "bytes_utf8": 1275, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 842, + "bytes_utf8": 842, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1861, + "reasoning_output_tokens": 1617 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_05b6fd3ca209a6ec/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7000f8e0c8df4add44ef464e048fc1aece479d96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/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": 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},\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_05b6fd3ca209a6ec/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da37d60e5d9bbb92071a8a27ca1b04a6533d17c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-d0bd-7340-ab0e-5fbf1aaaa477"} +{"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 ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL AND \\\"age\\\" <> ''\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= CAST((0.95 * \\\"cnt\\\") + 0.999999999 AS INTEGER)\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile with a nearest-rank window-function approach, casting \\\"age\\\" from TEXT to REAL and excluding blank ages.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":13696,"output_tokens":1861,"reasoning_output_tokens":1617}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e788efc37c9e38cafb749e2027bdefe72b51da3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/sql_response_attempt_1.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 ROW_NUMBER() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Residence_type\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL AND \"age\" <> ''\n)\nSELECT\n \"Residence_type\",\n MIN(\"age_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" >= CAST((0.95 * \"cnt\") + 0.999999999 AS INTEGER)\nGROUP BY \"Residence_type\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile with a nearest-rank window-function approach, 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_05b6fd3ca209a6ec/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6739cc276056d1712842c9079cd39c962dfb8480 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"heart_disease": "1", "condition_rate": 1.0}, {"heart_disease": "0", "condition_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_0687a47cc2d15b75/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..60e30af5c26343883658d43ed494283b115151bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/generated_sql.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: m7 +-- 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_m7_0687a47cc2d15b75 +-- problem_id: v2p_m7_b452b1f8ff040e3b +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", + AVG(CASE WHEN "heart_disease" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4cc1c95a9405c1120f0e6c64c6ccd63cfebbb5fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"heart_disease\", \"condition_rate\"], \"rows\": [{\"heart_disease\": \"1\", \"condition_rate\": 1.0}, {\"heart_disease\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..91219d7265bd9e6dcfa1ff4ca2ac82aeff0022b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:59:58.402847+00:00", + "ended_at": "2026-05-19T16:00:08.151401+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0687a47cc2d15b75", + "problem_id": "v2p_m7_b452b1f8ff040e3b", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, condition_col=heart_disease.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0687a47cc2d15b75.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89e58a235502fd07097a77297dec34364c2931f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:08.148477+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9742.79, "started_at": "2026-05-19T15:59:58.404848+00:00", "ended_at": "2026-05-19T16:00:08.147677+00:00", "prompt_metrics": {"chars": 7927, "bytes_utf8": 7927, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4b875c83458ba7107c31f7bbeb65bc19e271d987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0687a47cc2d15b75/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_06e65bec3c3ff169/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a46770d441db3859fe6aba1676a2ea1aefec432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/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": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 0, "output_tokens": 302, "reasoning_output_tokens": 200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..238e5dba140cac230fda4b754deb90255c8978d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/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_06e65bec3c3ff169", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 0, + "output_tokens": 302, + "total_tokens": 14579, + "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": 8175.15, + "sql_execution_elapsed_ms_total": 1.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/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_06e65bec3c3ff169/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d361cc87b002197c7cdbf5fd1ff284cae7e2424 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/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": "2026-05-19T15:28:46.744325+00:00", + "ended_at": "2026-05-19T15:28:54.919507+00:00", + "elapsed_ms": 8175.15, + "prompt_metrics": { + "chars": 7658, + "bytes_utf8": 7658, + "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": 366, + "bytes_utf8": 366, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14277, + "cached_input_tokens": 0, + "output_tokens": 302, + "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_06e65bec3c3ff169/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb9ed9039068a579610d9f2bf09322ccc424a12d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/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": 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": "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_06e65bec3c3ff169/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a14db1a62ee3e693a734e92c004e4eb537f94a87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-939a-7272-9176-3e3dcec0a74c"} +{"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(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL so SQLite sums it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":0,"output_tokens":302,"reasoning_output_tokens":200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c18e0d3868e13dcb47dbc496bf0d3270c5a88cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"hypertension\", SUM(CAST(\"age\" AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned Grouped Numeric Sum template with group_col=\"hypertension\" and measure_col=\"age\". Cast \"age\" from TEXT to REAL so SQLite sums it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff68334db734024795997359a24f6bf6933a2e14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "formerly smoked", "bmi": "30.5", "total_measure": 1292.06, "share_within_group": 1.3711869480950247}, {"smoking_status": "formerly smoked", "bmi": "29.4", "total_measure": 1289.77, "share_within_group": 1.3687567063793633}, {"smoking_status": "smokes", "bmi": "35.2", "total_measure": 1065.0, "share_within_group": 1.357289255035543}, {"smoking_status": "smokes", "bmi": "28.4", "total_measure": 1040.61, "share_within_group": 1.326205419420222}, {"smoking_status": "smokes", "bmi": "29.4", "total_measure": 989.22, "share_within_group": 1.2607114336772394}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4479dcbb6118b60f2c82c9e37ca289a3ed48b61d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/generated_sql.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: m7 +-- 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_m7_071c09858e38088b +-- problem_id: v2p_m7_9b33b00b14cc3034 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoking_status", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + 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 +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL + AND NULLIF("smoking_status", '') IS NOT NULL +GROUP BY "smoking_status", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5bcca7eaeeaef804c1054a566263cf59ca88c2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"smoking_status\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.5\", \"total_measure\": 1292.06, \"share_within_group\": 1.3711869480950247}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"29.4\", \"total_measure\": 1289.77, \"share_within_group\": 1.3687567063793633}, {\"smoking_status\": \"smokes\", \"bmi\": \"35.2\", \"total_measure\": 1065.0, \"share_within_group\": 1.357289255035543}, {\"smoking_status\": \"smokes\", \"bmi\": \"28.4\", \"total_measure\": 1040.61, \"share_within_group\": 1.326205419420222}, {\"smoking_status\": \"smokes\", \"bmi\": \"29.4\", \"total_measure\": 989.22, \"share_within_group\": 1.2607114336772394}, {\"smoking_status\": \"smokes\", \"bmi\": \"24.9\", \"total_measure\": 932.74, \"share_within_group\": 1.1887304974101902}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"27\", \"total_measure\": 1055.91, \"share_within_group\": 1.1205749039232062}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"31.8\", \"total_measure\": 1054.62, \"share_within_group\": 1.119205903131414}, {\"smoking_status\": \"never smoked\", \"bmi\": \"32.3\", \"total_measure\": 2200.34, \"share_within_group\": 1.108951397987675}, {\"smoking_status\": \"smokes\", \"bmi\": \"31.4\", \"total_measure\": 865.93, \"share_within_group\": 1.1035844925942984}, {\"smoking_status\": \"smokes\", \"bmi\": \"23\", \"total_measure\": 859.74, \"share_within_group\": 1.0956956470650308}, {\"smoking_status\": \"smokes\", \"bmi\": \"28.7\", \"total_measure\": 825.4, \"share_within_group\": 1.0519310339026642}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"34.3\", \"total_measure\": 989.9300000000001, \"share_within_group\": 1.0505542277662863}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28\", \"total_measure\": 985.91, \"share_within_group\": 1.0462880392523304}, {\"smoking_status\": \"Unknown\", \"bmi\": \"19.5\", \"total_measure\": 1521.48, \"share_within_group\": 1.0433088225109164}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"29.3\", \"total_measure\": 974.87, \"share_within_group\": 1.0345719394528095}, {\"smoking_status\": \"never smoked\", \"bmi\": \"25.5\", \"total_measure\": 2050.24, \"share_within_group\": 1.0333023597308828}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.2\", \"total_measure\": 972.94, \"share_within_group\": 1.0325237444697408}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28.7\", \"total_measure\": 956.71, \"share_within_group\": 1.0152998042753365}, {\"smoking_status\": \"never smoked\", \"bmi\": \"28.4\", \"total_measure\": 2012.06, \"share_within_group\": 1.014059986109002}, {\"smoking_status\": \"Unknown\", \"bmi\": \"29.1\", \"total_measure\": 1471.78, \"share_within_group\": 1.0092285529846705}, {\"smoking_status\": \"smokes\", \"bmi\": \"26.6\", \"total_measure\": 780.87, \"share_within_group\": 0.995179775192117}, {\"smoking_status\": \"smokes\", \"bmi\": \"27.9\", \"total_measure\": 778.54, \"share_within_group\": 0.9922103066811002}, {\"smoking_status\": \"never smoked\", \"bmi\": \"35.8\", \"total_measure\": 1963.89, \"share_within_group\": 0.9897827431187978}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"27.3\", \"total_measure\": 919.53, \"share_within_group\": 0.9758428667258627}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.3\", \"total_measure\": 915.82, \"share_within_group\": 0.9719056628983063}, {\"smoking_status\": \"Unknown\", \"bmi\": \"18\", \"total_measure\": 1410.51, \"share_within_group\": 0.967214506427868}, {\"smoking_status\": \"smokes\", \"bmi\": \"31.7\", \"total_measure\": 749.77, \"share_within_group\": 0.9555443800450696}, {\"smoking_status\": \"smokes\", \"bmi\": \"27\", \"total_measure\": 742.96, \"share_within_group\": 0.9468653755128705}, {\"smoking_status\": \"smokes\", \"bmi\": \"26.4\", \"total_measure\": 741.1800000000001, \"share_within_group\": 0.9445968545044543}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"34.5\", \"total_measure\": 878.4, \"share_within_group\": 0.9321940275271039}, {\"smoking_status\": \"Unknown\", \"bmi\": \"18.6\", \"total_measure\": 1349.94, \"share_within_group\": 0.9256804636672098}, {\"smoking_status\": \"smokes\", \"bmi\": \"23.8\", \"total_measure\": 713.46, \"share_within_group\": 0.9092691003733884}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28.8\", \"total_measure\": 856.79, \"share_within_group\": 0.9092606111622806}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"25.5\", \"total_measure\": 850.72, \"share_within_group\": 0.9028188787543918}, {\"smoking_status\": \"smokes\", \"bmi\": \"34.1\", \"total_measure\": 706.75, \"share_within_group\": 0.9007175408416621}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"31.1\", \"total_measure\": 837.97, \"share_within_group\": 0.8892880569750538}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"27.2\", \"total_measure\": 836.51, \"share_within_group\": 0.887738645226204}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.7\", \"total_measure\": 826.7, \"share_within_group\": 0.8773278717630427}, {\"smoking_status\": \"smokes\", \"bmi\": \"31.6\", \"total_measure\": 684.49, \"share_within_group\": 0.8723482837364122}, {\"smoking_status\": \"Unknown\", \"bmi\": \"27.7\", \"total_measure\": 1270.78, \"share_within_group\": 0.8713988915203764}, {\"smoking_status\": \"never smoked\", \"bmi\": \"28.6\", \"total_measure\": 1716.58, \"share_within_group\": 0.8651407467744455}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28.5\", \"total_measure\": 814.47, \"share_within_group\": 0.8643488952641168}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"24\", \"total_measure\": 812.45, \"share_within_group\": 0.8622051885979002}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"31.3\", \"total_measure\": 811.27, \"share_within_group\": 0.860952924307734}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"26.1\", \"total_measure\": 806.31, \"share_within_group\": 0.8556891693253406}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"33.7\", \"total_measure\": 805.11, \"share_within_group\": 0.8544156802166969}, {\"smoking_status\": \"smokes\", \"bmi\": \"30.7\", \"total_measure\": 669.5799999999999, \"share_within_group\": 0.8533462341659145}, {\"smoking_status\": \"smokes\", \"bmi\": \"32\", \"total_measure\": 668.77, \"share_within_group\": 0.8523139296620846}, {\"smoking_status\": \"never smoked\", \"bmi\": \"26.1\", \"total_measure\": 1685.76, \"share_within_group\": 0.849607746380879}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..35020a0636f4dea48260d1197dbbe6f2ab579848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:37:10.445883+00:00", + "ended_at": "2026-05-19T15:37:25.750766+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_071c09858e38088b", + "problem_id": "v2p_m7_9b33b00b14cc3034", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_071c09858e38088b.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..208d89078e00d18de696b88cb59731c9e74562af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:25.739030+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15291.02, "started_at": "2026-05-19T15:37:10.447117+00:00", "ended_at": "2026-05-19T15:37:25.738167+00:00", "prompt_metrics": {"chars": 8094, "bytes_utf8": 8094, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..74ea8a07c8814a19edb5932395bf4cb3c7e220cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_071c09858e38088b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_0849e89020fbe71e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9101d7a9d901832120b1c821b79d83399964d3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_1.raw.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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6d1a9f33f3aac9e0f4190770866684c25db3af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_response_attempt_2.raw.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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/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_090e985d0f15e967/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1df2d568b932dd40870604ee8aa4201679068e29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "group_value": 113035.36}, {"Residence_type": "Rural", "group_value": 107852.64}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..910ddddee2315a88150e29f870cfa19c354d07db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/generated_sql.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: m7 +-- 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_m7_090e985d0f15e967 +-- problem_id: v2p_m7_74e6ec1eac713e0c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "Residence_type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Residence_type", 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/m7/artifacts/v2q_m7_090e985d0f15e967/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ad0f54c677312f88bbe4b9618163feb6674d38f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"Residence_type\", \"group_value\"], \"rows\": [{\"Residence_type\": \"Urban\", \"group_value\": 113035.36}, {\"Residence_type\": \"Rural\", \"group_value\": 107852.64}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6e8d58c4628d21e2698cba1cb3067bd02deb3c86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:48:38.998121+00:00", + "ended_at": "2026-05-19T15:48:48.937847+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_090e985d0f15e967", + "problem_id": "v2p_m7_74e6ec1eac713e0c", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Residence_type, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_090e985d0f15e967.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48b12d2c8cd1abd08f653377f4115f1ae6f8c579 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:48.933978+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9934.01, "started_at": "2026-05-19T15:48:38.999158+00:00", "ended_at": "2026-05-19T15:48:48.933193+00:00", "prompt_metrics": {"chars": 8216, "bytes_utf8": 8216, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..315b2ff274694303f25afbd1960025f3e63a47d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_090e985d0f15e967/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_0a01b37e29f7d276/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..599e224f75d2e9351b1cb9ac829e501834132da4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:36.801067+00:00", + "ended_at": "2026-05-19T16:08:43.632465+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0a01b37e29f7d276", + "problem_id": "v2p_m7_73ac44c6093c38eb", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c392f7873ad7040fb5135b09ce5c4e428d141742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0a01b37e29f7d276/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:39.732867+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2929.72, "started_at": "2026-05-19T16:08:36.802355+00:00", "ended_at": "2026-05-19T16:08:39.732101+00:00", "prompt_metrics": {"chars": 7775, "bytes_utf8": 7775, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-0bd7-7762-9a25-1c230c17d966\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:43.632372+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2897.59, "started_at": "2026-05-19T16:08:40.733733+00:00", "ended_at": "2026-05-19T16:08:43.631361+00:00", "prompt_metrics": {"chars": 7775, "bytes_utf8": 7775, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-1b1d-7d61-8474-e04bae4249f3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9a62f23d5ec8385a602d94b58c35e237457be32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "total_measure": 109220177}, {"gender": "Male", "total_measure": 77329775}, {"gender": "Other", "total_measure": 56156}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d8ef7746133bd07b928d3c0684aefbf91660273c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/generated_sql.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: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_0b9ffa08ee57cea6 +-- problem_id: v2p_m7_cd1e3da6c55ca08e +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST(NULLIF("id", '') AS NUMERIC)) AS total_measure +FROM "m7" +GROUP BY "gender" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29eb9385afdb9cd2da130f672559d045729ea56e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"gender\", SUM(CAST(NULLIF(\"id\", '') AS NUMERIC)) AS total_measure\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"gender\\\", SUM(CAST(NULLIF(\\\"id\\\", '') AS NUMERIC)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"gender\", \"total_measure\"], \"rows\": [{\"gender\": \"Female\", \"total_measure\": 109220177}, {\"gender\": \"Male\", \"total_measure\": 77329775}, {\"gender\": \"Other\", \"total_measure\": 56156}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f31eabba79145d14311d44e7fee3d73118101513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:28:18.030701+00:00", + "ended_at": "2026-05-19T15:28:29.029362+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0b9ffa08ee57cea6", + "problem_id": "v2p_m7_cd1e3da6c55ca08e", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0b9ffa08ee57cea6.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0b9ffa08ee57cea6", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 4480, + "output_tokens": 384, + "total_tokens": 14659, + "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": 10990.38, + "sql_execution_elapsed_ms_total": 3.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/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_0b9ffa08ee57cea6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2fabfb7fe7637e5840d20535c9c8e8783f08d495 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:29.023297+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10990.38, "started_at": "2026-05-19T15:28:18.031734+00:00", "ended_at": "2026-05-19T15:28:29.022141+00:00", "prompt_metrics": {"chars": 7645, "bytes_utf8": 7645, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 448, "bytes_utf8": 448, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14275, "cached_input_tokens": 4480, "output_tokens": 384, "reasoning_output_tokens": 268}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"gender\\\", SUM(CAST(NULLIF(\\\"id\\\", '') AS NUMERIC)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested grouped numeric sum template with group_col=\\\"gender\\\" and measure_col=\\\"id\\\". Because \\\"id\\\" is stored as TEXT and behaves like an identifier, the query casts it to NUMERIC and treats empty strings as NULL for SQLite-safe summation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2c736b835510dab1b050cf0d186ccd1c61cc2050 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0b9ffa08ee57cea6", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 4480, + "output_tokens": 384, + "total_tokens": 14659, + "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": 10990.38, + "sql_execution_elapsed_ms_total": 3.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0b9ffa08ee57cea6/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_0e7aeb809c2c9484/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef047263de8943bca780162a4fad775010887e8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7563, "bytes_utf8": 7563, "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": 283, "bytes_utf8": 283, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14250, "cached_input_tokens": 12032, "output_tokens": 188, "reasoning_output_tokens": 111}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..77017b186b0122e1495453766b7aa940a8101c54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/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_0e7aeb809c2c9484", + "api_calls": 0, + "input_tokens": 14250, + "cached_input_tokens": 12032, + "output_tokens": 188, + "total_tokens": 14438, + "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": 22306.87, + "sql_execution_elapsed_ms_total": 1.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/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_0e7aeb809c2c9484/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3eec3f87ec66f2c24a820a3e361aebe01b9fcef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/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": "2026-05-19T15:32:42.041649+00:00", + "ended_at": "2026-05-19T15:33:04.348549+00:00", + "elapsed_ms": 22306.87, + "prompt_metrics": { + "chars": 7563, + "bytes_utf8": 7563, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1963, + "bytes_utf8": 1963, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 283, + "bytes_utf8": 283, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14250, + "cached_input_tokens": 12032, + "output_tokens": 188, + "reasoning_output_tokens": 111 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_0e7aeb809c2c9484/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b61c6c2975b6cac96ef867834493d9b156e84ca4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/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=stroke.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "stroke", + "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 {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_0e7aeb809c2c9484/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..67e3413ad121ea40999042bf226ea9f2c690e550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40de-2ab2-7913-9e02-d25c8f2629c1"} +{"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 14885. 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 1985366, Requested 14885. Please try again in 7ms. 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 1996163, Requested 14885. Please try again in 331ms. 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 14885. 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 \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"stroke\\\" on the single table \\\"m7\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14250,"cached_input_tokens":12032,"output_tokens":188,"reasoning_output_tokens":111}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edebe1201e07235dcdb5c53c97bb4a68b3a3732e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"stroke\", COUNT(*) AS row_count\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY row_count DESC;","notes":"Applied the provided Grouped Count by Category template with group_col bound to \"stroke\" 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_0e7aeb809c2c9484/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c280c372b12c6d108fd9fba2460e7bcb0687ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"empirical_cdf_at_threshold": 0.7499021526418786}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2335c0effe144a833543eae98c6fd2c839b186e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/generated_sql.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: m7 +-- 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_m7_0e9e72fd7ff53009 +-- problem_id: v2p_m7_8325af319e766bde +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea316636d8e2d11db0513e35e88edabba7f4e430 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf.\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499021526418786}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54e414ef44696dce62a87e67a6ca938d3cef73b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:03:04.889678+00:00", + "ended_at": "2026-05-19T16:03:13.341478+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0e9e72fd7ff53009", + "problem_id": "v2p_m7_8325af319e766bde", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "top_k": 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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=112" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e9e72fd7ff53009.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3a73ea162672fa0f4c02539cab5b9e6f2f838ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:13.339129+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8446.43, "started_at": "2026-05-19T16:03:04.891850+00:00", "ended_at": "2026-05-19T16:03:13.338315+00:00", "prompt_metrics": {"chars": 7586, "bytes_utf8": 7586, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f15fa9152be52581258af48973d9bf4b2ecb9894 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e9e72fd7ff53009/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_11b04ea1389b14d3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5c23153dbbb4977c16d87c898ee9a05ac65c4759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:05:55.830824+00:00", + "ended_at": "2026-05-19T16:06:03.605184+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_11b04ea1389b14d3", + "problem_id": "v2p_m7_73f3c3f2630356b2", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Residence_type.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..302094def312a222beb259b085813879f845217f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_11b04ea1389b14d3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:59.125382+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3292.18, "started_at": "2026-05-19T16:05:55.832471+00:00", "ended_at": "2026-05-19T16:05:59.124680+00:00", "prompt_metrics": {"chars": 7659, "bytes_utf8": 7659, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-9706-71b2-a777-6b8bd9469f73\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:03.605087+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3477.83, "started_at": "2026-05-19T16:06:00.126475+00:00", "ended_at": "2026-05-19T16:06:03.604348+00:00", "prompt_metrics": {"chars": 7659, "bytes_utf8": 7659, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-a80b-71d3-808f-c2c57805015e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d32d25e21ddfc9d0f6baa3686258d802328c83a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/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": 772, "bytes_utf8": 772, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 13696, "output_tokens": 753, "reasoning_output_tokens": 548}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1dde0073c94d84e4a7d3e1ffd1cc9a307c4eaea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/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_132f87c4ec2e4ebd", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 753, + "total_tokens": 15166, + "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": 13677.91, + "sql_execution_elapsed_ms_total": 2.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/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_132f87c4ec2e4ebd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b423d5bbd3c76c9154a0e6cd4421f8693b9856b --- 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13696, + "output_tokens": 753, + "reasoning_output_tokens": 548 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_132f87c4ec2e4ebd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7983ca499372a1d7606aafae02de50a97735a937 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/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": 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": "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_132f87c4ec2e4ebd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6132706486bb479abd2295a7236df95ad0937366 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-ea7b-78b0-8376-8f834dd9915e"} +{"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 AND \\\"gender\\\" <> '' AND \\\"id\\\" IS NOT NULL 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\":\"Instantiated the Relative-to-Total Extreme Threshold template with group_col=\\\"gender\\\", measure_col=\\\"id\\\", and fraction_threshold=0.05. Cast \\\"id\\\" from TEXT to REAL for SQLite-safe summation and filtered out empty/null grouping or measure values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14413,"cached_input_tokens":13696,"output_tokens":753,"reasoning_output_tokens":548}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c587610cc4f52a62870526509f4dc0866b32e0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/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 AND \"gender\" <> '' AND \"id\" IS NOT NULL 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":"Instantiated the Relative-to-Total Extreme Threshold template with group_col=\"gender\", measure_col=\"id\", and fraction_threshold=0.05. Cast \"id\" from TEXT to REAL for SQLite-safe summation and filtered out empty/null grouping or measure values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/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_13d228db0d6f974e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92d990ab9cff82f09c5466d43f2aa35ce7386c3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7824, "bytes_utf8": 7824, "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": 1778, "bytes_utf8": 1778, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14313, "cached_input_tokens": 13696, "output_tokens": 2419, "reasoning_output_tokens": 1823}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eeeecef642bc204e1731d450b15e55685185c78a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/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_13d228db0d6f974e", + "api_calls": 0, + "input_tokens": 14313, + "cached_input_tokens": 13696, + "output_tokens": 2419, + "total_tokens": 16732, + "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": 32198.27, + "sql_execution_elapsed_ms_total": 18.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/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_13d228db0d6f974e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..423e2af37a57868ec6e4b8db408690d62b7f4fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/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": "2026-05-19T15:54:53.760836+00:00", + "ended_at": "2026-05-19T15:55:25.959134+00:00", + "elapsed_ms": 32198.27, + "prompt_metrics": { + "chars": 7824, + "bytes_utf8": 7824, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2399, + "bytes_utf8": 2399, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1778, + "bytes_utf8": 1778, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14313, + "cached_input_tokens": 13696, + "output_tokens": 2419, + "reasoning_output_tokens": 1823 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_13d228db0d6f974e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5096722f5806edcb81e776ed3bec6adea9cb1db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/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=gender, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "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},\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_13d228db0d6f974e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..caf35eaba977cb84046a50835985a917188fc247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-7d06-7491-b32b-9696afc916d2"} +{"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 \\\"gender\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"gender\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"gender\\\" IS NOT NULL\\n AND \\\"gender\\\" <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND \\\"id\\\" <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"gender\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1) > CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) + 1\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n l.\\\"measure_value\\\" AS \\\"lower_value\\\",\\n u.\\\"measure_value\\\" AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS l\\n ON l.\\\"gender\\\" = p.\\\"gender\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ranked\\\" AS u\\n ON u.\\\"gender\\\" = p.\\\"gender\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"gender\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile per \\\"gender\\\" with linear interpolation over ordered rows and casts the TEXT \\\"id\\\" field to REAL for numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14313,"cached_input_tokens":13696,"output_tokens":2419,"reasoning_output_tokens":1823}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0be98753128506566bc6750faf553c33813a7ca5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"gender\",\n CAST(\"id\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"gender\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"gender\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"gender\" IS NOT NULL\n AND \"gender\" <> ''\n AND \"id\" IS NOT NULL\n AND \"id\" <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"gender\",\n (0.95 * (\"cnt\" - 1)) + 1 AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1) > CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n THEN CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) + 1\n ELSE CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n p.\"gender\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n l.\"measure_value\" AS \"lower_value\",\n u.\"measure_value\" AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS l\n ON l.\"gender\" = p.\"gender\"\n AND l.\"rn\" = p.\"lower_rn\"\n JOIN \"ranked\" AS u\n ON u.\"gender\" = p.\"gender\"\n AND u.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"gender\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile per \"gender\" with linear interpolation over ordered rows and casts the TEXT \"id\" field to REAL for numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/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_152e9cb0213bac3f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..04b58da83fc932e0b532c5b2f8c939d1b1fada6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Female", "support": 2994, "support_share": 0.5859099804305283, "cumulative_support": 2994}, {"value_label": "Male", "support": 2115, "support_share": 0.41389432485322897, "cumulative_support": 5109}, {"value_label": "Other", "support": 1, "support_share": 0.00019569471624266145, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d1fdf5d8d5849485c8adcba5c9709d7635fa0965 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_152e9cb0213bac3f +-- problem_id: v2p_m7_0d89a7e9dc2458b4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gender" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "gender" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d4812127501ca2a996cff0324e80af345452516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_152e9cb0213bac3f\n-- problem_id: v2p_m7_0d89a7e9dc2458b4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"gender\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"gender\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_152e9cb0213bac3f\\n-- problem_id: v2p_m7_0d89a7e9dc2458b4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"gender\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Female\", \"support\": 2994, \"support_share\": 0.5859099804305283, \"cumulative_support\": 2994}, {\"value_label\": \"Male\", \"support\": 2115, \"support_share\": 0.41389432485322897, \"cumulative_support\": 5109}, {\"value_label\": \"Other\", \"support\": 1, \"support_share\": 0.00019569471624266145, \"cumulative_support\": 5110}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..526a56c8897a31af7c96f991d55544e09543f019 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.860036+00:00", + "ended_at": "2026-05-19T16:09:16.862271+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_152e9cb0213bac3f", + "problem_id": "v2p_m7_0d89a7e9dc2458b4", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=gender.", + "bindings": { + "group_col": "gender" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_152e9cb0213bac3f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_152e9cb0213bac3f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1fef1d42e1eeefba29b64e3cac3d23ea2b603e49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:03.904246+00:00", + "ended_at": "2026-05-19T16:08:10.964520+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1a0b8ea782062bce", + "problem_id": "v2p_m7_06fc55b280214b1f", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aff9ea6bdb1103f40ef00fa6efbeb3c27daca121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a0b8ea782062bce/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:06.845323+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2938.92, "started_at": "2026-05-19T16:08:03.905340+00:00", "ended_at": "2026-05-19T16:08:06.844284+00:00", "prompt_metrics": {"chars": 7731, "bytes_utf8": 7731, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-8b3f-7e00-bc6d-c65085b6ba40\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:10.964403+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3116.72, "started_at": "2026-05-19T16:08:07.846743+00:00", "ended_at": "2026-05-19T16:08:10.963509+00:00", "prompt_metrics": {"chars": 7731, "bytes_utf8": 7731, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-9aa7-7c62-b914-a72893b6db9b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..88b392ba745f6e00de692e29e3446b27da5d7a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Residence_type, condition_col=Residence_type. +Result preview: [{"Residence_type": "Rural", "condition_rate": 1.0}, {"Residence_type": "Urban", "condition_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_1a38edcf28304fc1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e70fb52e0d8fd9f0734d37341e4d6e3ecd9d248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/generated_sql.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: m7 +-- 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_m7_1a38edcf28304fc1 +-- problem_id: v2p_m7_60ca79a11300fb80 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", + AVG(CASE WHEN "Residence_type" = 'Rural' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "Residence_type" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36733eb63a3b11ea0df4f7a68f1ea0d683643c15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"Residence_type\", \"condition_rate\"], \"rows\": [{\"Residence_type\": \"Rural\", \"condition_rate\": 1.0}, {\"Residence_type\": \"Urban\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b6b511e35312e2038edaa9592ffa2cd9f0aaf36e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:00:52.616148+00:00", + "ended_at": "2026-05-19T16:01:03.298598+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1a38edcf28304fc1", + "problem_id": "v2p_m7_60ca79a11300fb80", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Residence_type, condition_col=Residence_type.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a38edcf28304fc1.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30a40f9de07880e4a4d3a77410cc5e48d55fec01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:03.295355+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10677.29, "started_at": "2026-05-19T16:00:52.617280+00:00", "ended_at": "2026-05-19T16:01:03.294603+00:00", "prompt_metrics": {"chars": 7937, "bytes_utf8": 7937, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f18f2b3ceff4fa69a800577dce784e7f8bbf9a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a38edcf28304fc1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_1a6a4a761abd0b3f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4941a577d866c46bda301f9ef9f2e7c90cebb52a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:57:57.446620+00:00", + "ended_at": "2026-05-19T15:58:06.169903+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1a6a4a761abd0b3f", + "problem_id": "v2p_m7_5680d4a91b06e2be", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28c3f24d1a2545707ee66ee90b490cddf9faf829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a6a4a761abd0b3f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:00.655518+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3207.13, "started_at": "2026-05-19T15:57:57.447710+00:00", "ended_at": "2026-05-19T15:58:00.654858+00:00", "prompt_metrics": {"chars": 7831, "bytes_utf8": 7831, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-4a5f-7702-a536-31f4be4b91b5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:06.169818+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4512.2, "started_at": "2026-05-19T15:58:01.656867+00:00", "ended_at": "2026-05-19T15:58:06.169113+00:00", "prompt_metrics": {"chars": 7831, "bytes_utf8": 7831, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-5afc-7ed3-b078-7431730181ec\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a7b126e8964a7c09c9c459fff2f947b3f59b18df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8244, "bytes_utf8": 8244, "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": 685, "bytes_utf8": 685, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14421, "cached_input_tokens": 13696, "output_tokens": 416, "reasoning_output_tokens": 236}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bdb77c9246969044890d296ca1035c1a96358d64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/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_1bd374084b878674", + "api_calls": 0, + "input_tokens": 14421, + "cached_input_tokens": 13696, + "output_tokens": 416, + "total_tokens": 14837, + "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": 9972.78, + "sql_execution_elapsed_ms_total": 3.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/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_1bd374084b878674/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43af8ece81692a9e62b9e3a76373c9fd0ff60613 --- 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13696, + "output_tokens": 416, + "reasoning_output_tokens": 236 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_1bd374084b878674/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8401e84d2b71aabed052df108692b8b0b1186f3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/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=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "smoking_status", + "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": "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_1bd374084b878674/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e758cd40aceee7df7559d8c62fc42260ac23a91d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-ebc8-7df2-8746-60e853d7d898"} +{"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 \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"smoking_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoking_status\\\", 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=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". Cast \\\"avg_glucose_level\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14421,"cached_input_tokens":13696,"output_tokens":416,"reasoning_output_tokens":236}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..829c4808d46b173f865b4feb9aea08821b353ebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"smoking_status\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"smoking_status\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"smoking_status\", 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=\"smoking_status\" and measure_col=\"avg_glucose_level\". Cast \"avg_glucose_level\" from TEXT to REAL and treated 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_1bd374084b878674/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3881068165a7c7a734bc49c637c681c86ec60dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "Yes", "percentile_measure": 40.1}, {"ever_married": "No", "percentile_measure": 35.7}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..41df5cc100ec3681a355eba7d8d7f9a5686d6a7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/generated_sql.sql @@ -0,0 +1,37 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_1ed242aeaee7b289 +-- problem_id: v2p_m7_2c7efb31481bee3b +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "ever_married", + CAST("bmi" AS REAL) AS "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "ever_married" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "ever_married" + ) AS "cnt" + FROM "m7" + WHERE "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +) +SELECT + "ever_married", + "bmi_value" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CASE + WHEN (9 * "cnt") % 10 = 0 THEN CAST((9 * "cnt") / 10 AS INTEGER) + ELSE CAST((9 * "cnt") / 10 AS INTEGER) + 1 +END +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f409f376a7dedada7afe826d247c1b8e1a20253a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"ever_married\", \"percentile_measure\"], \"rows\": [{\"ever_married\": \"Yes\", \"percentile_measure\": 40.1}, {\"ever_married\": \"No\", \"percentile_measure\": 35.7}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3f1e1213f3842c5589798bfe81fc724b1ba4e9ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:57:01.411787+00:00", + "ended_at": "2026-05-19T15:57:42.027572+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1ed242aeaee7b289", + "problem_id": "v2p_m7_2c7efb31481bee3b", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ever_married, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ed242aeaee7b289.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..986b0212abac3e4814bee0a0e593ff9e34ee5f9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:42.014062+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 40599.83, "started_at": "2026-05-19T15:57:01.413414+00:00", "ended_at": "2026-05-19T15:57:42.013279+00:00", "prompt_metrics": {"chars": 7833, "bytes_utf8": 7833, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c8639249a9d0dd6542d8685c972401c359de92bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ed242aeaee7b289/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_1ef7e7c67f3b77c0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0093cf0a84ec8ca28b348d2b07bdf358c3cc971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "never smoked", "support": 1892, "support_share": 0.37025440313111546, "support_rank": 1}, {"value_label": "Unknown", "support": 1544, "support_share": 0.3021526418786693, "support_rank": 2}, {"value_label": "formerly smoked", "support": 885, "support_share": 0.17318982387475537, "support_rank": 3}, {"value_label": "smokes", "support": 789, "support_share": 0.1544031311154599, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..34c1f2dc87881465cb645cc8b3f9842685b92230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/generated_sql.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: m7 +-- 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_m7_1ef7e7c67f3b77c0 +-- problem_id: v2p_m7_b69107e856af1706 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoking_status" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "smoking_status" +) +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/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..534ac7915052fae767ee631716ce49264fff5b2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_1ef7e7c67f3b77c0\n-- problem_id: v2p_m7_b69107e856af1706\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"smoking_status\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"smoking_status\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_1ef7e7c67f3b77c0\\n-- problem_id: v2p_m7_b69107e856af1706\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"smoking_status\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"smoking_status\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"never smoked\", \"support\": 1892, \"support_share\": 0.37025440313111546, \"support_rank\": 1}, {\"value_label\": \"Unknown\", \"support\": 1544, \"support_share\": 0.3021526418786693, \"support_rank\": 2}, {\"value_label\": \"formerly smoked\", \"support\": 885, \"support_share\": 0.17318982387475537, \"support_rank\": 3}, {\"value_label\": \"smokes\", \"support\": 789, \"support_share\": 0.1544031311154599, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2d01ec90d9db1f304be2da6cea04e18af42e5923 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.896945+00:00", + "ended_at": "2026-05-19T16:09:16.899398+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1ef7e7c67f3b77c0", + "problem_id": "v2p_m7_b69107e856af1706", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=smoking_status.", + "bindings": { + "group_col": "smoking_status" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ef7e7c67f3b77c0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1ef7e7c67f3b77c0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ad3ebff77185a4b6ef51b0b4ea53e69310f0bb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7655, "bytes_utf8": 7655, "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": 7655, "bytes_utf8": 7655, "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": 333, "bytes_utf8": 333, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14289, "cached_input_tokens": 12288, "output_tokens": 327, "reasoning_output_tokens": 227}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2e4936b5c4fc384049f870c67f63e592221be67d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/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_218028c7ba80c178", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12288, + "output_tokens": 327, + "total_tokens": 14616, + "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": 10795.11, + "sql_execution_elapsed_ms_total": 1.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/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_218028c7ba80c178/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6e56a8e7e793fbb1e38c121124fdb2446ab7e2d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:19.147031+00:00", + "ended_at": "2026-05-19T16:05:21.880512+00:00", + "elapsed_ms": 2733.44, + "returncode": 1, + "prompt_metrics": { + "chars": 7655, + "bytes_utf8": 7655, + "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_218028c7ba80c178/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2916623beeeee1af7d0c9a0ec16f1d5608a67ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:22.882976+00:00", + "ended_at": "2026-05-19T16:05:30.944705+00:00", + "elapsed_ms": 8061.67, + "prompt_metrics": { + "chars": 7655, + "bytes_utf8": 7655, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 694, + "bytes_utf8": 694, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 333, + "bytes_utf8": 333, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14289, + "cached_input_tokens": 12288, + "output_tokens": 327, + "reasoning_output_tokens": 227 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_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_218028c7ba80c178/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52cf8d35bb3f9ecb15f5c0c1f1af6f83c6da73ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/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=ever_married.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ever_married", + "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\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_218028c7ba80c178/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..52cf8d35bb3f9ecb15f5c0c1f1af6f83c6da73ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/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=ever_married.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ever_married", + "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\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_218028c7ba80c178/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5d2111cf1b5010c5c67d55195ee9fe11406b4ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-07a5-73f2-bbfa-c7f1bda8852c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_218028c7ba80c178/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f85d3d4ae62681af5543150353287054b981ca23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-07a5-73f2-bbfa-c7f1bda8852c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_218028c7ba80c178/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e515122c4d175f883fef4e1187116350dc4c33e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-1651-7433-aa0a-bac00fde343d"} +{"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 \\\"ever_married\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"support\\\" ASC, \\\"ever_married\\\"\\nLIMIT 13;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"ever_married\\\" and top_k set to 13.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14289,"cached_input_tokens":12288,"output_tokens":327,"reasoning_output_tokens":227}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5c5a1bc4aff94e2cd0614a5d6cb9ac9d95dfa9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"ever_married\",\n COUNT(*) AS \"support\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"support\" ASC, \"ever_married\"\nLIMIT 13;","notes":"Applied the Low-Support Group Count template with group_col bound to \"ever_married\" and top_k set to 13."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/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_218028c7ba80c178/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..36108c210894f773103bb48469f8d34a18b719be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "1", "bmi": "31", "total_measure": 840.82, "share_within_group": 2.5558361531568443}, {"heart_disease": "1", "bmi": "32.2", "total_measure": 758.87, "share_within_group": 2.306733167082294}, {"heart_disease": "1", "bmi": "32.5", "total_measure": 624.25, "share_within_group": 1.8975294576819774}, {"heart_disease": "1", "bmi": "34.5", "total_measure": 576.78, "share_within_group": 1.7532351471394647}, {"heart_disease": "1", "bmi": "28", "total_measure": 546.17, "share_within_group": 1.660190090351887}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e42e9f5eb5ee452dc444a3617227a173b58e1626 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/generated_sql.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: m7 +-- 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_m7_2708c1038ddc5697 +-- problem_id: v2p_m7_b44d04cdf28ee2f6 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84f0d8b5cb09f664e7d08408f9bda9ff795d4adb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"heart_disease\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"heart_disease\": \"1\", \"bmi\": \"31\", \"total_measure\": 840.82, \"share_within_group\": 2.5558361531568443}, {\"heart_disease\": \"1\", \"bmi\": \"32.2\", \"total_measure\": 758.87, \"share_within_group\": 2.306733167082294}, {\"heart_disease\": \"1\", \"bmi\": \"32.5\", \"total_measure\": 624.25, \"share_within_group\": 1.8975294576819774}, {\"heart_disease\": \"1\", \"bmi\": \"34.5\", \"total_measure\": 576.78, \"share_within_group\": 1.7532351471394647}, {\"heart_disease\": \"1\", \"bmi\": \"28\", \"total_measure\": 546.17, \"share_within_group\": 1.660190090351887}, {\"heart_disease\": \"1\", \"bmi\": \"24.1\", \"total_measure\": 498.23, \"share_within_group\": 1.5144671232693498}, {\"heart_disease\": \"1\", \"bmi\": \"22\", \"total_measure\": 476.11, \"share_within_group\": 1.4472290750452002}, {\"heart_disease\": \"1\", \"bmi\": \"31.1\", \"total_measure\": 473.12, \"share_within_group\": 1.438140387694829}, {\"heart_disease\": \"1\", \"bmi\": \"28.1\", \"total_measure\": 466.49, \"share_within_group\": 1.4179872113961804}, {\"heart_disease\": \"1\", \"bmi\": \"30.5\", \"total_measure\": 460.36, \"share_within_group\": 1.3993538824805367}, {\"heart_disease\": \"1\", \"bmi\": \"26.1\", \"total_measure\": 456.86, \"share_within_group\": 1.3887149507995005}, {\"heart_disease\": \"1\", \"bmi\": \"30.7\", \"total_measure\": 454.93, \"share_within_group\": 1.3828483399011005}, {\"heart_disease\": \"1\", \"bmi\": \"27.9\", \"total_measure\": 444.86, \"share_within_group\": 1.352238613607376}, {\"heart_disease\": \"1\", \"bmi\": \"29.8\", \"total_measure\": 443.88, \"share_within_group\": 1.3492597127366859}, {\"heart_disease\": \"1\", \"bmi\": \"25.5\", \"total_measure\": 438.8, \"share_within_group\": 1.3338180633253531}, {\"heart_disease\": \"1\", \"bmi\": \"26.5\", \"total_measure\": 423.01, \"share_within_group\": 1.2858212829700493}, {\"heart_disease\": \"1\", \"bmi\": \"31.5\", \"total_measure\": 422.1, \"share_within_group\": 1.2830551607329799}, {\"heart_disease\": \"1\", \"bmi\": \"30\", \"total_measure\": 420.91999999999996, \"share_within_group\": 1.2794683209090874}, {\"heart_disease\": \"1\", \"bmi\": \"34.2\", \"total_measure\": 414.4, \"share_within_group\": 1.2596495110347}, {\"heart_disease\": \"1\", \"bmi\": \"36.8\", \"total_measure\": 412.87, \"share_within_group\": 1.254998778042704}, {\"heart_disease\": \"1\", \"bmi\": \"24.9\", \"total_measure\": 411.85, \"share_within_group\": 1.2518982893813735}, {\"heart_disease\": \"1\", \"bmi\": \"41.9\", \"total_measure\": 409.06, \"share_within_group\": 1.2434175409842045}, {\"heart_disease\": \"1\", \"bmi\": \"28.7\", \"total_measure\": 406.90999999999997, \"share_within_group\": 1.236882197237282}, {\"heart_disease\": \"1\", \"bmi\": \"31.9\", \"total_measure\": 405.53, \"share_within_group\": 1.232687418460188}, {\"heart_disease\": \"1\", \"bmi\": \"39\", \"total_measure\": 385.91999999999996, \"share_within_group\": 1.1730790040987242}, {\"heart_disease\": \"1\", \"bmi\": \"28.2\", \"total_measure\": 378.17, \"share_within_group\": 1.149521369662144}, {\"heart_disease\": \"1\", \"bmi\": \"27.3\", \"total_measure\": 374.57, \"share_within_group\": 1.1385784685045066}, {\"heart_disease\": \"1\", \"bmi\": \"29.4\", \"total_measure\": 356.71, \"share_within_group\": 1.0842895199835614}, {\"heart_disease\": \"1\", \"bmi\": \"29.2\", \"total_measure\": 344.81, \"share_within_group\": 1.048117152268038}, {\"heart_disease\": \"1\", \"bmi\": \"26.4\", \"total_measure\": 338.70000000000005, \"share_within_group\": 1.0295446172477147}, {\"heart_disease\": \"1\", \"bmi\": \"25\", \"total_measure\": 328.15, \"share_within_group\": 0.997475837466305}, {\"heart_disease\": \"1\", \"bmi\": \"21.7\", \"total_measure\": 321.32, \"share_within_group\": 0.9767147222144541}, {\"heart_disease\": \"1\", \"bmi\": \"28.3\", \"total_measure\": 319.6, \"share_within_group\": 0.9714864472169163}, {\"heart_disease\": \"1\", \"bmi\": \"27.7\", \"total_measure\": 313.41, \"share_within_group\": 0.9526707366153121}, {\"heart_disease\": \"1\", \"bmi\": \"28.6\", \"total_measure\": 309.84, \"share_within_group\": 0.9418190263006548}, {\"heart_disease\": \"1\", \"bmi\": \"33\", \"total_measure\": 307.82, \"share_within_group\": 0.935678842873314}, {\"heart_disease\": \"1\", \"bmi\": \"30.9\", \"total_measure\": 303.94, \"share_within_group\": 0.9238848271811938}, {\"heart_disease\": \"1\", \"bmi\": \"29.7\", \"total_measure\": 295.53, \"share_within_group\": 0.8983209941990463}, {\"heart_disease\": \"1\", \"bmi\": \"29.6\", \"total_measure\": 294.33, \"share_within_group\": 0.894673360479834}, {\"heart_disease\": \"1\", \"bmi\": \"24.2\", \"total_measure\": 289.77, \"share_within_group\": 0.8808123523468268}, {\"heart_disease\": \"1\", \"bmi\": \"30.4\", \"total_measure\": 287.88, \"share_within_group\": 0.8750673292390672}, {\"heart_disease\": \"1\", \"bmi\": \"30.8\", \"total_measure\": 284.75, \"share_within_group\": 0.8655530846214546}, {\"heart_disease\": \"1\", \"bmi\": \"32.9\", \"total_measure\": 267.95, \"share_within_group\": 0.8144862125524803}, {\"heart_disease\": \"1\", \"bmi\": \"35.2\", \"total_measure\": 266.18, \"share_within_group\": 0.809105952816642}, {\"heart_disease\": \"0\", \"bmi\": \"28.7\", \"total_measure\": 3788.4, \"share_within_group\": 0.7826546022772183}, {\"heart_disease\": \"0\", \"bmi\": \"28.4\", \"total_measure\": 3741.78, \"share_within_group\": 0.7730232651538512}, {\"heart_disease\": \"0\", \"bmi\": \"26.1\", \"total_measure\": 3737.0099999999998, \"share_within_group\": 0.7720378194636225}, {\"heart_disease\": \"0\", \"bmi\": \"27\", \"total_measure\": 3669.4300000000003, \"share_within_group\": 0.7580763058901101}, {\"heart_disease\": \"0\", \"bmi\": \"26.7\", \"total_measure\": 3669.18, \"share_within_group\": 0.758024657793138}, {\"heart_disease\": \"1\", \"bmi\": \"40.5\", \"total_measure\": 247.51, \"share_within_group\": 0.7523548515352282}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d1b4675f5f473cac333ed644ce9c8e3df0302f7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:35:14.008468+00:00", + "ended_at": "2026-05-19T15:35:31.082203+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_2708c1038ddc5697", + "problem_id": "v2p_m7_b44d04cdf28ee2f6", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2708c1038ddc5697.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a39693890ab7dc598d3232efe6894f05992323ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:31.066469+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17055.55, "started_at": "2026-05-19T15:35:14.009662+00:00", "ended_at": "2026-05-19T15:35:31.065236+00:00", "prompt_metrics": {"chars": 8092, "bytes_utf8": 8092, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..869ea2ba82fc4742fff300e0189d7ea18b6643a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2708c1038ddc5697/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_2d66afe8fb598e0e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2eeab3ced347008c32ea5d081378637e9c5d6e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=stroke. +Result preview: [{"work_type": "Private", "stroke": "0", "row_count": 2649}, {"work_type": "children", "stroke": "0", "row_count": 684}, {"work_type": "Self-employed", "stroke": "0", "row_count": 682}, {"work_type": "Govt_job", "stroke": "0", "row_count": 595}, {"work_type": "Private", "stroke": "1", "row_count": 118}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0ccdc054e492aea209426d633dfaaf65f2903557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/generated_sql.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: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_2d66afe8fb598e0e +-- problem_id: v2p_m7_11e0cf81ccdc0097 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "stroke", COUNT(*) AS "row_count" +FROM "m7" +WHERE "heart_disease" = '0' +GROUP BY "work_type", "stroke" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1dd6088a159348373287047db0523ed1ff67e89c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"work_type\", \"stroke\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nWHERE \"heart_disease\" = '0'\nGROUP BY \"work_type\", \"stroke\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"stroke\", \"row_count\"], \"rows\": [{\"work_type\": \"Private\", \"stroke\": \"0\", \"row_count\": 2649}, {\"work_type\": \"children\", \"stroke\": \"0\", \"row_count\": 684}, {\"work_type\": \"Self-employed\", \"stroke\": \"0\", \"row_count\": 682}, {\"work_type\": \"Govt_job\", \"stroke\": \"0\", \"row_count\": 595}, {\"work_type\": \"Private\", \"stroke\": \"1\", \"row_count\": 118}, {\"work_type\": \"Self-employed\", \"stroke\": \"1\", \"row_count\": 56}, {\"work_type\": \"Govt_job\", \"stroke\": \"1\", \"row_count\": 26}, {\"work_type\": \"Never_worked\", \"stroke\": \"0\", \"row_count\": 22}, {\"work_type\": \"children\", \"stroke\": \"1\", \"row_count\": 2}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..af9e16e9cdb605ad1090cf1dd995fcea2bce4ee2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:42:17.304916+00:00", + "ended_at": "2026-05-19T15:42:30.087488+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_2d66afe8fb598e0e", + "problem_id": "v2p_m7_11e0cf81ccdc0097", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=stroke.", + "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 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=52" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d66afe8fb598e0e.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..946fe2b18fe2ad70a2ba63243b914289374f6c63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:30.078367+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12771.18, "started_at": "2026-05-19T15:42:17.306108+00:00", "ended_at": "2026-05-19T15:42:30.077320+00:00", "prompt_metrics": {"chars": 7973, "bytes_utf8": 7973, "lines": 244, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2927b9c6abaab94514826a963fc6d758be8a2b66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d66afe8fb598e0e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_2d980b1a752e3abe/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b62640ae1406865b4c63db079e44841c626e8c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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": 504, "bytes_utf8": 504, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14392, "cached_input_tokens": 0, "output_tokens": 578, "reasoning_output_tokens": 429}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a49737b8a172294f9e1a21a5475517e68381367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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_2d980b1a752e3abe", + "api_calls": 0, + "input_tokens": 14392, + "cached_input_tokens": 0, + "output_tokens": 578, + "total_tokens": 14970, + "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": 15418.57, + "sql_execution_elapsed_ms_total": 5.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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_2d980b1a752e3abe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f4ef9bb8ea946a14a10be18a82c07970b532205 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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": "2026-05-19T15:34:05.493957+00:00", + "ended_at": "2026-05-19T15:34:20.912561+00:00", + "elapsed_ms": 15418.57, + "prompt_metrics": { + "chars": 8048, + "bytes_utf8": 8048, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 884, + "bytes_utf8": 884, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 504, + "bytes_utf8": 504, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14392, + "cached_input_tokens": 0, + "output_tokens": 578, + "reasoning_output_tokens": 429 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2d980b1a752e3abe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..141d0038a0e09d2abe9aad59a7bdb7bab01e5a67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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": 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}, {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_2d980b1a752e3abe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce51c59b3784bd108a635d2746817f594a741e91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-7183-7a61-be75-b94443633827"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gender\\\", \\\"age\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"gender\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14392,"cached_input_tokens":0,"output_tokens":578,"reasoning_output_tokens":429}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12f32863a38889abc901481e63971b3f85bb84d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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 REAL)) AS total_measure,\n SUM(CAST(\"id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"id\" AS REAL))) OVER (PARTITION BY \"gender\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"gender\", \"age\"\nORDER BY share_within_group DESC;","notes":"Used the planned template with group_col=\"gender\", item_col=\"age\", and measure_col=\"id\". Cast \"id\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b0618476f113c353bb686195934f8c1b8773d8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=stroke, condition_col=stroke. +Result preview: [{"stroke": "0", "condition_rate": 1.0}, {"stroke": "1", "condition_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/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2b3250d61a1154808e03c4d1e02579b8755b01a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/generated_sql.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: m7 +-- 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_m7_2dcb48e24275b40c +-- problem_id: v2p_m7_a43f8730b5d521ff +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", + AVG(CASE WHEN "stroke" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..754b122d361ec7f48eabd7c846e79b4b210d8b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stroke\", \"condition_rate\"], \"rows\": [{\"stroke\": \"0\", \"condition_rate\": 1.0}, {\"stroke\": \"1\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..067fc51cf6e9c501c89904db68aa1d25934417ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:01:20.933002+00:00", + "ended_at": "2026-05-19T16:01:30.099240+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_2dcb48e24275b40c", + "problem_id": "v2p_m7_a43f8730b5d521ff", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=stroke, condition_col=stroke.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2dcb48e24275b40c.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..51a894f8739df572a49345228577eeb135a46dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:30.092757+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9157.08, "started_at": "2026-05-19T16:01:20.934089+00:00", "ended_at": "2026-05-19T16:01:30.091199+00:00", "prompt_metrics": {"chars": 7886, "bytes_utf8": 7886, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f48c1f898e3f96967ff64c1d1228846478917b30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2dcb48e24275b40c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_31eb991ded93c83a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..606b8afb95e8ce51444d2fe2799d7eb2b736b1cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7821, "bytes_utf8": 7821, "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": 792, "bytes_utf8": 792, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14314, "cached_input_tokens": 13696, "output_tokens": 746, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f30808ea803b2e5766bbd036dda4b76f99e301f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/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_31eb991ded93c83a", + "api_calls": 0, + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 746, + "total_tokens": 15060, + "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": 15048.65, + "sql_execution_elapsed_ms_total": 10.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/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_31eb991ded93c83a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e072a066a76fcb9225c5f634d2372b22bc5afa80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/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": "2026-05-19T15:54:12.575109+00:00", + "ended_at": "2026-05-19T15:54:27.623782+00:00", + "elapsed_ms": 15048.65, + "prompt_metrics": { + "chars": 7821, + "bytes_utf8": 7821, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1200, + "bytes_utf8": 1200, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 792, + "bytes_utf8": 792, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 746, + "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_31eb991ded93c83a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c93060b2bad22a28731e56df3a213668731efac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/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=stroke, measure_col=bmi.", + "planned_template_id": "tpl_grouped_percentile_point", + "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},\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_31eb991ded93c83a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06b61042bab05de5bd2c9bc7cde3d0601e684e6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-dbf1-7171-af0d-e6b61e4d53ff"} +{"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 \\\"stroke\\\",\\n CAST(NULLIF(\\\"bmi\\\", '') AS REAL) AS \\\"bmi_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"stroke\\\"\\n ORDER BY CAST(NULLIF(\\\"bmi\\\", '') AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"stroke\\\",\\n MIN(\\\"bmi_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.9\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to emulate the 90th percentile per stroke group and returns the smallest bmi value at or above the 0.9 cumulative threshold. Empty bmi strings are excluded before casting to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14314,"cached_input_tokens":13696,"output_tokens":746,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e2795aafdd9509333d5201971fe3acc4ed17eda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"stroke\",\n CAST(NULLIF(\"bmi\", '') AS REAL) AS \"bmi_value\",\n CUME_DIST() OVER (\n PARTITION BY \"stroke\"\n ORDER BY CAST(NULLIF(\"bmi\", '') AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"m7\"\n WHERE NULLIF(\"bmi\", '') IS NOT NULL\n)\nSELECT\n \"stroke\",\n MIN(\"bmi_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist_value\" >= 0.9\nGROUP BY \"stroke\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to emulate the 90th percentile per stroke group and returns the smallest bmi value at or above the 0.9 cumulative threshold. Empty bmi strings are excluded before casting to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/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_32bd2177ebd1ed71/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..06283c055a43c9172ec3661d29db93e345c8188f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=stroke, condition_col=stroke. +Result preview: [{"stroke": "1", "condition_rate": 1.0}, {"stroke": "0", "condition_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_32bd2177ebd1ed71/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..554583c853b04d78a7af0641524235be23e92a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/generated_sql.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: m7 +-- 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_m7_32bd2177ebd1ed71 +-- problem_id: v2p_m7_bb1069f838fd59c8 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", + AVG(CASE WHEN "stroke" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f3559f86eb984d36786108cd7a9f638278440ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"stroke\",\n AVG(CASE WHEN \"stroke\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"stroke\\\",\\n AVG(CASE WHEN \\\"stroke\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"stroke\", \"condition_rate\"], \"rows\": [{\"stroke\": \"1\", \"condition_rate\": 1.0}, {\"stroke\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4f805f4b6386b88175f2a705aff38ce2b5079730 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:01:30.100499+00:00", + "ended_at": "2026-05-19T16:01:38.640316+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_32bd2177ebd1ed71", + "problem_id": "v2p_m7_bb1069f838fd59c8", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=stroke, condition_col=stroke.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_32bd2177ebd1ed71.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_32bd2177ebd1ed71", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 284, + "total_tokens": 14621, + "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": 8533.42, + "sql_execution_elapsed_ms_total": 1.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/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_32bd2177ebd1ed71/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..10aeb7ab0a890db0c8a019b31b2cd32d551b84ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:38.637271+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8533.42, "started_at": "2026-05-19T16:01:30.103042+00:00", "ended_at": "2026-05-19T16:01:38.636497+00:00", "prompt_metrics": {"chars": 7893, "bytes_utf8": 7893, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 484, "bytes_utf8": 484, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14337, "cached_input_tokens": 12032, "output_tokens": 284, "reasoning_output_tokens": 148}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"stroke\\\",\\n AVG(CASE WHEN \\\"stroke\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Used the required template with group_col and condition_col both bound to \\\"stroke\\\" and condition_value bound to '1'. This produces a self-grouped proportion, so groups with \\\"stroke\\\"='1' will have rate 1.0 and groups with \\\"stroke\\\"='0' will have rate 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e74293a1159d862321ec5f23aa2e7812b3c64c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_32bd2177ebd1ed71", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 284, + "total_tokens": 14621, + "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": 8533.42, + "sql_execution_elapsed_ms_total": 1.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_32bd2177ebd1ed71/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9a62f23d5ec8385a602d94b58c35e237457be32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "total_measure": 109220177}, {"gender": "Male", "total_measure": 77329775}, {"gender": "Other", "total_measure": 56156}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..596fa4f6ca60f9155d04ba0171368ce47ecb8ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/generated_sql.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: m7 +-- 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_m7_3339240a81854092 +-- problem_id: v2p_m7_d18ecbbc2f178b8d +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "m7" +GROUP BY "gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..488c2fc581fda38b509bfc59888a0cf1525d2843 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"gender\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"total_measure\"], \"rows\": [{\"gender\": \"Female\", \"total_measure\": 109220177}, {\"gender\": \"Male\", \"total_measure\": 77329775}, {\"gender\": \"Other\", \"total_measure\": 56156}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f1ad1e6b1f4255efceb1f0d24a9d970319e4e0e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:28:29.030177+00:00", + "ended_at": "2026-05-19T15:28:38.297351+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3339240a81854092", + "problem_id": "v2p_m7_d18ecbbc2f178b8d", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3339240a81854092.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08a48a6bb6fff9d4a7979ee1dc6938d5f89778c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:38.293702+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9260.45, "started_at": "2026-05-19T15:28:29.031580+00:00", "ended_at": "2026-05-19T15:28:38.292064+00:00", "prompt_metrics": {"chars": 7647, "bytes_utf8": 7647, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..64003063ea3dd094b343db17eb3fc290d4b80c83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3339240a81854092/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_34501c6a006766e5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f7f2e653604babed4a91fd8a736b2f8ba84ff6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7942, "bytes_utf8": 7942, "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": 546, "bytes_utf8": 546, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14343, "cached_input_tokens": 12032, "output_tokens": 313, "reasoning_output_tokens": 172}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cafa451d0a7ca59a1071885f05dc80c3523de606 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/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_34501c6a006766e5", + "api_calls": 0, + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 313, + "total_tokens": 14656, + "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": 8244.84, + "sql_execution_elapsed_ms_total": 5.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/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_34501c6a006766e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3274dd20f04fe30a0d1f4074b332fe5478a35b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/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": "2026-05-19T16:00:36.616830+00:00", + "ended_at": "2026-05-19T16:00:44.861721+00:00", + "elapsed_ms": 8244.84, + "prompt_metrics": { + "chars": 7942, + "bytes_utf8": 7942, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 901, + "bytes_utf8": 901, + "lines": 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": 14343, + "cached_input_tokens": 12032, + "output_tokens": 313, + "reasoning_output_tokens": 172 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_34501c6a006766e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba5f42b14071ca21b7e2a72d427069bda121d143 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/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=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": "Self-employed", + "positive_value": "Private", + "negative_value": "Self-employed", + "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": 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_34501c6a006766e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b8c405a472b2b45bc95d42a20c95c3070088ddf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-b82a-7332-81af-e15ba8f00769"} +{"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\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template exactly with group_col and condition_col both bound to \\\"work_type\\\" and condition_value bound to 'Self-employed'. This produces a self-referential rate: the \\\"Self-employed\\\" group will have rate 1.0 and other work_type groups will have rate 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14343,"cached_input_tokens":12032,"output_tokens":313,"reasoning_output_tokens":172}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e07bc0fe07ad0326ab14b69ccbf345ee5772aa19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/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\" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template exactly with group_col and condition_col both bound to \"work_type\" and condition_value bound to 'Self-employed'. This produces a self-referential rate: the \"Self-employed\" group will have rate 1.0 and other work_type groups 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_34501c6a006766e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/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_3651d5a0bfe60c0a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..094ab6dd7a3785761238946ebedd6b12ad0c1c4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4612, "support_share": 0.9025440313111546, "support_rank": 1}, {"value_label": "1", "support": 498, "support_share": 0.0974559686888454, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cb25a9880e8ad0ac0464a37acc4f2d3f01a9e826 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/generated_sql.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: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_3651d5a0bfe60c0a +-- problem_id: v2p_m7_e5da33cb1adabbe9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "hypertension" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "hypertension" +) +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/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b653c3808ecbf835389abd36e31acd5bd98bc33e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_3651d5a0bfe60c0a\n-- problem_id: v2p_m7_e5da33cb1adabbe9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"hypertension\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"hypertension\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_3651d5a0bfe60c0a\\n-- problem_id: v2p_m7_e5da33cb1adabbe9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"hypertension\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"hypertension\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4612, \"support_share\": 0.9025440313111546, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 498, \"support_share\": 0.0974559686888454, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad3667761e1288c709b2c136c5b31a181ec7eb31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.883742+00:00", + "ended_at": "2026-05-19T16:09:16.885821+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3651d5a0bfe60c0a", + "problem_id": "v2p_m7_e5da33cb1adabbe9", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=hypertension.", + "bindings": { + "group_col": "hypertension" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3651d5a0bfe60c0a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3651d5a0bfe60c0a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d5db4d3efa0a04129cc67bc2c2626a303d57f882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7580, "bytes_utf8": 7580, "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": 265, "bytes_utf8": 265, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14254, "cached_input_tokens": 13696, "output_tokens": 320, "reasoning_output_tokens": 245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eea007091452d31b6da8991bc303f4be951dbcb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/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_3716efb3cd4f1be5", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 13696, + "output_tokens": 320, + "total_tokens": 14574, + "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": 10784.64, + "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_3716efb3cd4f1be5/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_3716efb3cd4f1be5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66234bb826847422f48c71dacb1caabd8ab8d56f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/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": "2026-05-19T15:33:30.447192+00:00", + "ended_at": "2026-05-19T15:33:41.231868+00:00", + "elapsed_ms": 10784.64, + "prompt_metrics": { + "chars": 7580, + "bytes_utf8": 7580, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 619, + "bytes_utf8": 619, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 265, + "bytes_utf8": 265, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14254, + "cached_input_tokens": 13696, + "output_tokens": 320, + "reasoning_output_tokens": 245 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3716efb3cd4f1be5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..723e2ba8a09cfe17e518ff3c0029f73e2cd22ccd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/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=heart_disease.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "heart_disease", + "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 {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_3716efb3cd4f1be5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c6e227a83ed43ea979fe349182e587ea705bf51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-e7c3-7511-81a9-2e38880ef152"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"heart_disease\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped-count template with \\\"heart_disease\\\" as the category column.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14254,"cached_input_tokens":13696,"output_tokens":320,"reasoning_output_tokens":245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c2c2bd93a1c2aea5d8d586fce23e55316bd7d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"heart_disease\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY \"row_count\" DESC;","notes":"Uses the grouped-count template with \"heart_disease\" as the category column."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/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_373a614e940f48cc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f34450157e40fb091ab81d29b42346c0c1375b1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7911, "bytes_utf8": 7911, "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": 7911, "bytes_utf8": 7911, "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": 494, "bytes_utf8": 494, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14337, "cached_input_tokens": 12032, "output_tokens": 468, "reasoning_output_tokens": 333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22ff6d07d9dd1dbf7b61ac1e9e773549768c359f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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_373a614e940f48cc", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 468, + "total_tokens": 14805, + "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": 22662.27, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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_373a614e940f48cc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9d1ce88c6c0294007ac4eec9bb38ffbec3ae0e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:49.451160+00:00", + "ended_at": "2026-05-19T16:02:01.364366+00:00", + "elapsed_ms": 11913.18, + "returncode": 1, + "prompt_metrics": { + "chars": 7911, + "bytes_utf8": 7911, + "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_373a614e940f48cc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..097b95f1ba0b88361434c677923cb98460dbadeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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": "2026-05-19T16:02:02.366274+00:00", + "ended_at": "2026-05-19T16:02:13.115411+00:00", + "elapsed_ms": 10749.09, + "prompt_metrics": { + "chars": 7911, + "bytes_utf8": 7911, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 853, + "bytes_utf8": 853, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 494, + "bytes_utf8": 494, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 468, + "reasoning_output_tokens": 333 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_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_373a614e940f48cc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f04be52dd3a1b21597c2bbe5bb850dc6f381faa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Male", + "positive_value": "Female", + "negative_value": "Male", + "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 {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_373a614e940f48cc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f04be52dd3a1b21597c2bbe5bb850dc6f381faa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Male", + "positive_value": "Female", + "negative_value": "Male", + "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 {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_373a614e940f48cc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc2e227566e1a39a84e2cde8e07aa50cd464fd67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-d4a4-7512-b10b-36b87c1d86dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_373a614e940f48cc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e92347dae5dfede404d9dabc091267c743162705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-d4a4-7512-b10b-36b87c1d86dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_373a614e940f48cc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9968b7f82750cb5d1c1c0c92caf189acbbcccd90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-0722-7e30-a138-1a4f4900a4b2"} +{"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\\\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the planned Grouped Condition Rate template with group_col and condition_col both bound to \\\"gender\\\" and condition_value bound to 'Male'. This produces a deterministic within-group rate: 1.0 for the Male group and 0.0 for non-Male gender groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14337,"cached_input_tokens":12032,"output_tokens":468,"reasoning_output_tokens":333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c53d5a63a250e623160f3fbe16a0a574f05658b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"gender\",\n AVG(CASE WHEN \"gender\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the planned Grouped Condition Rate template with group_col and condition_col both bound to \"gender\" and condition_value bound to 'Male'. This produces a deterministic within-group rate: 1.0 for the Male group and 0.0 for non-Male gender groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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_373a614e940f48cc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/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_38104d0bc8ddc8e3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48b420772ca2d7734b61d7beadec917241389476 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7989, "bytes_utf8": 7989, "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": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14371, "cached_input_tokens": 13696, "output_tokens": 333, "reasoning_output_tokens": 224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aa4724099c64f5cf628fb2bace6232c8d18ff228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/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_38104d0bc8ddc8e3", + "api_calls": 0, + "input_tokens": 14371, + "cached_input_tokens": 13696, + "output_tokens": 333, + "total_tokens": 14704, + "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": 8939.56, + "sql_execution_elapsed_ms_total": 1.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/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_38104d0bc8ddc8e3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e41b7044beec8fa3d0412a3362b0c2bd0065aeb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/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": "2026-05-19T15:43:05.878743+00:00", + "ended_at": "2026-05-19T15:43:14.818340+00:00", + "elapsed_ms": 8939.56, + "prompt_metrics": { + "chars": 7989, + "bytes_utf8": 7989, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 777, + "bytes_utf8": 777, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 414, + "bytes_utf8": 414, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14371, + "cached_input_tokens": 13696, + "output_tokens": 333, + "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_38104d0bc8ddc8e3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6606dda3af6a2dddc8c0966f3194728796aff22b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/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=stroke.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Residence_type", + "group_col_2": "stroke", + "predicate_col": "work_type", + "predicate_op": "=", + "predicate_value": "Never_worked", + "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}, {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_38104d0bc8ddc8e3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e177b3847cddd904146025008f4d2b6708e0f4a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-af8c-7712-9ba5-f49e4d7ac8f9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Residence_type\\\", \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"work_type\\\" = 'Never_worked'\\nGROUP BY \\\"Residence_type\\\", \\\"stroke\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"Residence_type\\\", group_col_2=\\\"stroke\\\", and predicate work_type = 'Never_worked'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14371,"cached_input_tokens":13696,"output_tokens":333,"reasoning_output_tokens":224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9c2b26b00a1f06265370fd52429bc9ce3e81f4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Residence_type\", \"stroke\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"work_type\" = 'Never_worked'\nGROUP BY \"Residence_type\", \"stroke\"\nORDER BY row_count DESC;","notes":"Applied the provided filtered two-dimensional group count template with group_col=\"Residence_type\", group_col_2=\"stroke\", and predicate work_type = 'Never_worked'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/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_3bba3cb41db2e4b3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9bb18013f31fd60cffb85ee0050de5165522ae2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-ed4d-7272-89cc-365186bf9c6a"} +{"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\":\"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.\"}"}} +{"type":"turn.completed","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_3c1043561217dc8d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5734c19909b3bd6537d37a04e02231f14336812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Female", "support": 2994, "support_share": 0.5859099804305283, "support_rank": 1}, {"value_label": "Male", "support": 2115, "support_share": 0.41389432485322897, "support_rank": 2}, {"value_label": "Other", "support": 1, "support_share": 0.00019569471624266145, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..60ed1072e9747f93901690138303748a299e01e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/generated_sql.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: m7 +-- 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_m7_3c1043561217dc8d +-- problem_id: v2p_m7_559cc50ba2423627 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gender" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "gender" +) +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/m7/artifacts/v2q_m7_3c1043561217dc8d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d40d702edfb0ca927e0b9978cc437267e591e228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_3c1043561217dc8d\n-- problem_id: v2p_m7_559cc50ba2423627\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"gender\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"gender\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_3c1043561217dc8d\\n-- problem_id: v2p_m7_559cc50ba2423627\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"gender\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Female\", \"support\": 2994, \"support_share\": 0.5859099804305283, \"support_rank\": 1}, {\"value_label\": \"Male\", \"support\": 2115, \"support_share\": 0.41389432485322897, \"support_rank\": 2}, {\"value_label\": \"Other\", \"support\": 1, \"support_share\": 0.00019569471624266145, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ac83835e8edf2340d5d14b701a93ae7cec498ecb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.881045+00:00", + "ended_at": "2026-05-19T16:09:16.883285+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3c1043561217dc8d", + "problem_id": "v2p_m7_559cc50ba2423627", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=gender.", + "bindings": { + "group_col": "gender" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c1043561217dc8d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c1043561217dc8d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e36a3b3abb615322884cd157c4348984df7e2410 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level. +Result preview: [{"avg_glucose_level": 271.74}, {"avg_glucose_level": 267.76}, {"avg_glucose_level": 267.61}, {"avg_glucose_level": 267.6}, {"avg_glucose_level": 266.59}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..834d1896edf7bf004b2b8dbcbd7784f70108b436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/generated_sql.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: m7 +-- 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_m7_3ca1e2993344e706 +-- problem_id: v2p_m7_0368947183be7597 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("avg_glucose_level" AS REAL) AS "avg_glucose_level", + NTILE(10) OVER (ORDER BY CAST("avg_glucose_level" AS REAL) DESC) AS "tail_bucket" + FROM "m7" + WHERE "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' +) +SELECT "avg_glucose_level" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "avg_glucose_level" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a25f8584473c969f0975b0b0a05f65ebd31d8b05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"avg_glucose_level\"], \"rows\": [{\"avg_glucose_level\": 271.74}, {\"avg_glucose_level\": 267.76}, {\"avg_glucose_level\": 267.61}, {\"avg_glucose_level\": 267.6}, {\"avg_glucose_level\": 266.59}, {\"avg_glucose_level\": 263.56}, {\"avg_glucose_level\": 263.32}, {\"avg_glucose_level\": 261.67}, {\"avg_glucose_level\": 260.85}, {\"avg_glucose_level\": 259.63}, {\"avg_glucose_level\": 256.74}, {\"avg_glucose_level\": 255.17}, {\"avg_glucose_level\": 254.95}, {\"avg_glucose_level\": 254.63}, {\"avg_glucose_level\": 254.6}, {\"avg_glucose_level\": 253.93}, {\"avg_glucose_level\": 253.86}, {\"avg_glucose_level\": 253.16}, {\"avg_glucose_level\": 252.72}, {\"avg_glucose_level\": 251.99}, {\"avg_glucose_level\": 251.6}, {\"avg_glucose_level\": 251.46}, {\"avg_glucose_level\": 250.89}, {\"avg_glucose_level\": 250.8}, {\"avg_glucose_level\": 250.2}, {\"avg_glucose_level\": 249.31}, {\"avg_glucose_level\": 249.29}, {\"avg_glucose_level\": 248.37}, {\"avg_glucose_level\": 248.24}, {\"avg_glucose_level\": 247.97}, {\"avg_glucose_level\": 247.87}, {\"avg_glucose_level\": 247.69}, {\"avg_glucose_level\": 247.51}, {\"avg_glucose_level\": 247.48}, {\"avg_glucose_level\": 246.53}, {\"avg_glucose_level\": 246.34}, {\"avg_glucose_level\": 244.3}, {\"avg_glucose_level\": 244.28}, {\"avg_glucose_level\": 243.73}, {\"avg_glucose_level\": 243.59}, {\"avg_glucose_level\": 243.58}, {\"avg_glucose_level\": 243.53}, {\"avg_glucose_level\": 243.52}, {\"avg_glucose_level\": 243.5}, {\"avg_glucose_level\": 242.94}, {\"avg_glucose_level\": 242.84}, {\"avg_glucose_level\": 242.62}, {\"avg_glucose_level\": 242.52}, {\"avg_glucose_level\": 242.3}, {\"avg_glucose_level\": 240.86}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 20.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..79ef43355b6ec5013420d685859dab64037f07e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:44:02.163321+00:00", + "ended_at": "2026-05-19T15:44:15.873666+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3ca1e2993344e706", + "problem_id": "v2p_m7_0368947183be7597", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3ca1e2993344e706.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1875e026981bf1c9a20ad00f545a451599fef786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:15.849897+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13683.3, "started_at": "2026-05-19T15:44:02.165012+00:00", "ended_at": "2026-05-19T15:44:15.848362+00:00", "prompt_metrics": {"chars": 7849, "bytes_utf8": 7849, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aae76bdc86aa47708f8e10925269a7b5efbed951 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3ca1e2993344e706/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_3cc316fd0cc1d1d5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad39b9f852f9f44977b2823d336e629d54b18ef2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=ever_married, condition_col=ever_married. +Result preview: [{"ever_married": "No", "condition_ratio": 0.0}, {"ever_married": "Yes", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3bcf3beb3fe7e97a73b30491f12b8135859bf5fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/generated_sql.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: m7 +-- 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_m7_3cc316fd0cc1d1d5 +-- problem_id: v2p_m7_f23ff2da7c8e3abe +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ever_married", + SUM(CASE WHEN "ever_married" = 'Yes' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ever_married" = 'No' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "ever_married" +) +SELECT "ever_married", + 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/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..710ea5bf5d429de0202b041b4c27127081031d37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"ever_married\", \"condition_ratio\"], \"rows\": [{\"ever_married\": \"No\", \"condition_ratio\": 0.0}, {\"ever_married\": \"Yes\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fd83e5c77a3e17a92b393d84eca49475102c3074 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:40:40.118745+00:00", + "ended_at": "2026-05-19T15:40:53.939596+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3cc316fd0cc1d1d5", + "problem_id": "v2p_m7_f23ff2da7c8e3abe", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=ever_married, condition_col=ever_married.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=43" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3cc316fd0cc1d1d5.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7504fb3f3321b4d2422f2e59dd203d5b8f827539 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:53.936115+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13814.52, "started_at": "2026-05-19T15:40:40.120736+00:00", "ended_at": "2026-05-19T15:40:53.935289+00:00", "prompt_metrics": {"chars": 8484, "bytes_utf8": 8484, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b094f7220a300786424a77c59ea50f51879b7251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3cc316fd0cc1d1d5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_3edab2f1ec2fb2b9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..efe0f978b46f8de0dec65d681e1a0a1a9fe329cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:53.390984+00:00", + "ended_at": "2026-05-19T15:56:57.100834+00:00", + "elapsed_ms": 3709.82, + "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_3edab2f1ec2fb2b9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2a0c63ceb872f9c58bd7d15efeba3127dd825298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:58.102876+00:00", + "ended_at": "2026-05-19T15:57:01.410528+00:00", + "elapsed_ms": 3307.6, + "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_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_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_3edab2f1ec2fb2b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e23ace4dfab1f586fa3302b97e09cf3a9da2c103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/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=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": 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},\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_3edab2f1ec2fb2b9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e23ace4dfab1f586fa3302b97e09cf3a9da2c103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/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=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": 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},\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_3edab2f1ec2fb2b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9b1dc2af84c479e09e3e29edc6a8585f90e8e05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-502f-79f1-8618-526b797b77ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_3edab2f1ec2fb2b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f4b4ce0b6607244f7e48347796187e49f7c5d1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-502f-79f1-8618-526b797b77ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_3edab2f1ec2fb2b9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a15e6ff57205c4712d4fcc7cf37c93a3131eaa28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-628c-7612-8227-91b01e2439e7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_3edab2f1ec2fb2b9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1b879ceed20ac353ad90114614827a410df5561 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-628c-7612-8227-91b01e2439e7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_3edab2f1ec2fb2b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/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_3edab2f1ec2fb2b9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/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_41419ebb395fdd5e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60c3e103b5dc95af8d666acb12ca3e236d652fa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/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": 586, "bytes_utf8": 586, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 13696, "output_tokens": 542, "reasoning_output_tokens": 383}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d206a8bac43e768e48ee47e3c8952ac9d3ff76dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/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_41419ebb395fdd5e", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 542, + "total_tokens": 14872, + "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": 11443.56, + "sql_execution_elapsed_ms_total": 16.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/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_41419ebb395fdd5e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..174f412d5bc0b6f767d660ca1fff98f6c3c62b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/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": "2026-05-19T15:43:50.698014+00:00", + "ended_at": "2026-05-19T15:44:02.141606+00:00", + "elapsed_ms": 11443.56, + "prompt_metrics": { + "chars": 7818, + "bytes_utf8": 7818, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 955, + "bytes_utf8": 955, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 586, + "bytes_utf8": 586, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 542, + "reasoning_output_tokens": 383 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_41419ebb395fdd5e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7751290a0b4292ec179798b02baff29a3ef1185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/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": 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 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_41419ebb395fdd5e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a156dfb4fcdef37090fd1bb6c30ec535c6edff5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-5eab-7513-88ed-182152563539"} +{"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 \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"age\\\", '') AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"age\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"age\\\" and num_tiles=10. Cast \\\"age\\\" to REAL for correct numeric ordering because the SQLite snapshot stores it as TEXT, and excluded blank ages before bucketing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14330,"cached_input_tokens":13696,"output_tokens":542,"reasoning_output_tokens":383}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..33650d05f583411b2e6cf8767a4b0e5f219f37ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"age\",\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\"age\", '') AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE NULLIF(\"age\", '') IS NOT NULL\n)\nSELECT \"age\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"age\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"age\" and num_tiles=10. Cast \"age\" to REAL for correct numeric ordering because the SQLite snapshot stores it as TEXT, and excluded blank ages before bucketing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fea3e8b9c214a37a610d66f5025ddfe5802eb9bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "No", "id": "56420", "total_measure": 97.6, "share_within_group": 0.2270237328191184}, {"ever_married": "No", "id": "41097", "total_measure": 78.0, "share_within_group": 0.18143290122839378}, {"ever_married": "No", "id": "3590", "total_measure": 57.5, "share_within_group": 0.13374861308503389}, {"ever_married": "No", "id": "8960", "total_measure": 56.0, "share_within_group": 0.13025951883064169}, {"ever_married": "No", "id": "31145", "total_measure": 55.7, "share_within_group": 0.12956169997976325}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9f68f43ba59a0c2d705952b76ba2452a9cc34db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/generated_sql.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: m7 +-- 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_m7_42db52b029b0a090 +-- problem_id: v2p_m7_759ea551a3a38ceb +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "ever_married") AS "share_within_group" +FROM "m7" +GROUP BY "ever_married", "id" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7d1eefb5e617852dcf9812f53f6064838e9aa36b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"ever_married\", \"id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ever_married\": \"No\", \"id\": \"56420\", \"total_measure\": 97.6, \"share_within_group\": 0.2270237328191184}, {\"ever_married\": \"No\", \"id\": \"41097\", \"total_measure\": 78.0, \"share_within_group\": 0.18143290122839378}, {\"ever_married\": \"No\", \"id\": \"3590\", \"total_measure\": 57.5, \"share_within_group\": 0.13374861308503389}, {\"ever_married\": \"No\", \"id\": \"8960\", \"total_measure\": 56.0, \"share_within_group\": 0.13025951883064169}, {\"ever_married\": \"No\", \"id\": \"31145\", \"total_measure\": 55.7, \"share_within_group\": 0.12956169997976325}, {\"ever_married\": \"No\", \"id\": \"49277\", \"total_measure\": 55.7, \"share_within_group\": 0.12956169997976325}, {\"ever_married\": \"No\", \"id\": \"6040\", \"total_measure\": 55.0, \"share_within_group\": 0.12793345599438025}, {\"ever_married\": \"No\", \"id\": \"7730\", \"total_measure\": 54.7, \"share_within_group\": 0.1272356371435018}, {\"ever_married\": \"No\", \"id\": \"27660\", \"total_measure\": 54.3, \"share_within_group\": 0.12630521200899722}, {\"ever_married\": \"No\", \"id\": \"4169\", \"total_measure\": 54.2, \"share_within_group\": 0.12607260572537107}, {\"ever_married\": \"No\", \"id\": \"50215\", \"total_measure\": 52.8, \"share_within_group\": 0.12281611775460503}, {\"ever_married\": \"No\", \"id\": \"99\", \"total_measure\": 52.3, \"share_within_group\": 0.1216530863364743}, {\"ever_married\": \"No\", \"id\": \"31360\", \"total_measure\": 51.9, \"share_within_group\": 0.12072266120196971}, {\"ever_married\": \"No\", \"id\": \"66570\", \"total_measure\": 51.0, \"share_within_group\": 0.11862920464933441}, {\"ever_married\": \"No\", \"id\": \"18891\", \"total_measure\": 50.3, \"share_within_group\": 0.11700096066395138}, {\"ever_married\": \"No\", \"id\": \"9335\", \"total_measure\": 49.9, \"share_within_group\": 0.1160705355294468}, {\"ever_married\": \"No\", \"id\": \"18498\", \"total_measure\": 49.8, \"share_within_group\": 0.11583792924582065}, {\"ever_married\": \"No\", \"id\": \"50889\", \"total_measure\": 49.8, \"share_within_group\": 0.11583792924582065}, {\"ever_married\": \"No\", \"id\": \"43088\", \"total_measure\": 49.5, \"share_within_group\": 0.11514011039494221}, {\"ever_married\": \"No\", \"id\": \"3793\", \"total_measure\": 48.8, \"share_within_group\": 0.1135118664095592}, {\"ever_married\": \"No\", \"id\": \"49495\", \"total_measure\": 48.5, \"share_within_group\": 0.11281404755868076}, {\"ever_married\": \"No\", \"id\": \"27145\", \"total_measure\": 48.4, \"share_within_group\": 0.11258144127505461}, {\"ever_married\": \"No\", \"id\": \"21989\", \"total_measure\": 48.3, \"share_within_group\": 0.11234883499142846}, {\"ever_married\": \"No\", \"id\": \"23911\", \"total_measure\": 48.1, \"share_within_group\": 0.11188362242417617}, {\"ever_married\": \"No\", \"id\": \"37608\", \"total_measure\": 47.9, \"share_within_group\": 0.11141840985692388}, {\"ever_married\": \"No\", \"id\": \"22127\", \"total_measure\": 46.9, \"share_within_group\": 0.10909234702066242}, {\"ever_married\": \"No\", \"id\": \"53323\", \"total_measure\": 46.3, \"share_within_group\": 0.10769670931890554}, {\"ever_married\": \"No\", \"id\": \"30248\", \"total_measure\": 46.2, \"share_within_group\": 0.1074641030352794}, {\"ever_married\": \"No\", \"id\": \"63656\", \"total_measure\": 46.0, \"share_within_group\": 0.1069988904680271}, {\"ever_married\": \"No\", \"id\": \"26480\", \"total_measure\": 45.9, \"share_within_group\": 0.10676628418440096}, {\"ever_married\": \"No\", \"id\": \"14444\", \"total_measure\": 45.8, \"share_within_group\": 0.10653367790077481}, {\"ever_married\": \"No\", \"id\": \"20426\", \"total_measure\": 45.7, \"share_within_group\": 0.10630107161714866}, {\"ever_married\": \"No\", \"id\": \"51958\", \"total_measure\": 45.2, \"share_within_group\": 0.10513804019901794}, {\"ever_married\": \"No\", \"id\": \"18605\", \"total_measure\": 44.9, \"share_within_group\": 0.1044402213481395}, {\"ever_married\": \"No\", \"id\": \"4813\", \"total_measure\": 44.7, \"share_within_group\": 0.10397500878088721}, {\"ever_married\": \"No\", \"id\": \"724\", \"total_measure\": 44.7, \"share_within_group\": 0.10397500878088721}, {\"ever_married\": \"No\", \"id\": \"35378\", \"total_measure\": 44.5, \"share_within_group\": 0.10350979621363492}, {\"ever_married\": \"No\", \"id\": \"54776\", \"total_measure\": 44.2, \"share_within_group\": 0.10281197736275648}, {\"ever_married\": \"No\", \"id\": \"60255\", \"total_measure\": 43.6, \"share_within_group\": 0.10141633966099961}, {\"ever_married\": \"No\", \"id\": \"16355\", \"total_measure\": 43.3, \"share_within_group\": 0.10071852081012117}, {\"ever_married\": \"No\", \"id\": \"33308\", \"total_measure\": 43.3, \"share_within_group\": 0.10071852081012117}, {\"ever_married\": \"No\", \"id\": \"47924\", \"total_measure\": 43.2, \"share_within_group\": 0.10048591452649502}, {\"ever_married\": \"No\", \"id\": \"23543\", \"total_measure\": 43.1, \"share_within_group\": 0.10025330824286888}, {\"ever_married\": \"No\", \"id\": \"1577\", \"total_measure\": 43.0, \"share_within_group\": 0.10002070195924273}, {\"ever_married\": \"No\", \"id\": \"34896\", \"total_measure\": 43.0, \"share_within_group\": 0.10002070195924273}, {\"ever_married\": \"No\", \"id\": \"57347\", \"total_measure\": 43.0, \"share_within_group\": 0.10002070195924273}, {\"ever_married\": \"No\", \"id\": \"61000\", \"total_measure\": 42.7, \"share_within_group\": 0.09932288310836429}, {\"ever_married\": \"No\", \"id\": \"38771\", \"total_measure\": 42.4, \"share_within_group\": 0.09862506425748585}, {\"ever_married\": \"No\", \"id\": \"29915\", \"total_measure\": 42.3, \"share_within_group\": 0.0983924579738597}, {\"ever_married\": \"No\", \"id\": \"1737\", \"total_measure\": 42.2, \"share_within_group\": 0.09815985169023356}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 26.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0ca9df526899dcbad5a9f344e7a105144ce4e222 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:35:46.130914+00:00", + "ended_at": "2026-05-19T15:35:59.073806+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_42db52b029b0a090", + "problem_id": "v2p_m7_759ea551a3a38ceb", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ever_married, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_42db52b029b0a090.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91d8b4af96bd6fabc66066cf59c72ce4d834f1ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:59.044742+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12912.07, "started_at": "2026-05-19T15:35:46.131821+00:00", "ended_at": "2026-05-19T15:35:59.043913+00:00", "prompt_metrics": {"chars": 8062, "bytes_utf8": 8062, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22c642b27f18383eb9af526071574c499da155cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_42db52b029b0a090/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_4366cb377638a483/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4684e6a128b583e7a53362b4e977342b5c9709d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Private", "total_measure": 108082339}, {"work_type": "Self-employed", "total_measure": 29116505}, {"work_type": "children", "total_measure": 24573600}, {"work_type": "Govt_job", "total_measure": 23991627}, {"work_type": "Never_worked", "total_measure": 842037}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..06a088e886d117cc0ce925cbf20001144829ff0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/generated_sql.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: m7 +-- 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_m7_4366cb377638a483 +-- problem_id: v2p_m7_2a16e2be991b4c69 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "m7" +GROUP BY "work_type" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1605d9a13ab3d13f9211e928b686e75c3e532dde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"work_type\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"total_measure\"], \"rows\": [{\"work_type\": \"Private\", \"total_measure\": 108082339}, {\"work_type\": \"Self-employed\", \"total_measure\": 29116505}, {\"work_type\": \"children\", \"total_measure\": 24573600}, {\"work_type\": \"Govt_job\", \"total_measure\": 23991627}, {\"work_type\": \"Never_worked\", \"total_measure\": 842037}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..70e58347325294992fe726e557c1337a19d9bb44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:29:46.159095+00:00", + "ended_at": "2026-05-19T15:29:58.488455+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_4366cb377638a483", + "problem_id": "v2p_m7_2a16e2be991b4c69", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4366cb377638a483.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1eed14120e4d91d0f86a68c5a5903718dd044230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:58.484825+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12324.15, "started_at": "2026-05-19T15:29:46.159981+00:00", "ended_at": "2026-05-19T15:29:58.484166+00:00", "prompt_metrics": {"chars": 7653, "bytes_utf8": 7653, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9afafc5130cb4e6d68b4a339d1e60ae92e8e9c17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4366cb377638a483/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_445f1548a18bfa31/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1311199bc345e4c45f9d2b6d8c454571c71b6a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, condition_col=gender. +Result preview: [{"gender": "Female", "condition_rate": 1.0}, {"gender": "Other", "condition_rate": 0.0}, {"gender": "Male", "condition_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_445f1548a18bfa31/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2ec41a214f780813c4023163bebaf2959436715 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/generated_sql.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: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_445f1548a18bfa31 +-- problem_id: v2p_m7_45762c8c0e5a9953 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", + AVG(CASE WHEN "gender" = 'Female' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74d7cbdc934f1be3c5113f75e3d51a9206677aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"condition_rate\"], \"rows\": [{\"gender\": \"Female\", \"condition_rate\": 1.0}, {\"gender\": \"Other\", \"condition_rate\": 0.0}, {\"gender\": \"Male\", \"condition_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e82072641eb8b56ce7dcd248d7436c97651b5789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:59:03.254295+00:00", + "ended_at": "2026-05-19T15:59:12.036529+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_445f1548a18bfa31", + "problem_id": "v2p_m7_45762c8c0e5a9953", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, condition_col=gender.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_445f1548a18bfa31.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db8becc08ff32f68699733bdbc90f46c98185550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:12.032160+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8776.09, "started_at": "2026-05-19T15:59:03.255200+00:00", "ended_at": "2026-05-19T15:59:12.031315+00:00", "prompt_metrics": {"chars": 7916, "bytes_utf8": 7916, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5047fc512690483613ee7654f1b4f474b73e55a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_445f1548a18bfa31/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_44bbcf21e5814da6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..622b5a466a86c24da281d00a8891ab4edda90c00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Govt_job", "percentile_measure": 66321.0}, {"work_type": "Private", "percentile_measure": 65907.0}, {"work_type": "children", "percentile_measure": 65357.0}, {"work_type": "Self-employed", "percentile_measure": 64895.0}, {"work_type": "Never_worked", "percentile_measure": 61408.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0f0c03fbb13de759d52d3af73ff3dda696206170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/generated_sql.sql @@ -0,0 +1,46 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_44bbcf21e5814da6 +-- problem_id: v2p_m7_66da435aae16c054 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "work_type", + CAST("id" AS REAL) AS "id_value", + ROW_NUMBER() OVER ( + PARTITION BY "work_type" + ORDER BY CAST("id" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "work_type" + ) AS "cnt" + FROM "m7" + WHERE "work_type" IS NOT NULL + AND TRIM("work_type") <> '' + AND "id" IS NOT NULL + AND TRIM("id") <> '' +), +"thresholds" AS ( + SELECT + "work_type", + "id_value", + "rn", + "cnt", + CAST((0.9 * "cnt") AS INTEGER) + ((0.9 * "cnt") > CAST((0.9 * "cnt") AS INTEGER)) AS "target_rn" + FROM "ranked" +) +SELECT + "work_type", + MAX(CASE WHEN "rn" = "target_rn" THEN "id_value" END) AS "percentile_measure" +FROM "thresholds" +GROUP BY "work_type" +HAVING MAX("cnt") >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4908dccb89a50d9a8798b1658a5b9bdc43d711e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"percentile_measure\"], \"rows\": [{\"work_type\": \"Govt_job\", \"percentile_measure\": 66321.0}, {\"work_type\": \"Private\", \"percentile_measure\": 65907.0}, {\"work_type\": \"children\", \"percentile_measure\": 65357.0}, {\"work_type\": \"Self-employed\", \"percentile_measure\": 64895.0}, {\"work_type\": \"Never_worked\", \"percentile_measure\": 61408.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b939db0c8148a3d3ec63ece899430eb60478b9db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:50:59.314424+00:00", + "ended_at": "2026-05-19T15:51:33.559947+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_44bbcf21e5814da6", + "problem_id": "v2p_m7_66da435aae16c054", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44bbcf21e5814da6.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b029b93fef3ec88898ab9415af13d4e792ddd252 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:33.534502+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 34218.26, "started_at": "2026-05-19T15:50:59.315385+00:00", "ended_at": "2026-05-19T15:51:33.533674+00:00", "prompt_metrics": {"chars": 7831, "bytes_utf8": 7831, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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 "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c7da22731fccb755165b49fcb403a6424a56740f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44bbcf21e5814da6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_46750f3a1775058d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed9569e6c40370b8adc81a01915f633ddeb1dbf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"empirical_cdf_at_threshold": 0.7535139539621104}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e076174e8e40cd9cd85f4652ca5630b5d15bcb8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/generated_sql.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: m7 +-- 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_m7_46750f3a1775058d +-- problem_id: v2p_m7_0a45e89b803a1881 +-- realization_mode: agent +-- source_kind: agent +SELECT 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" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6275386f7ae3ed08af04140529499909aab9dc09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN 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\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7535139539621104}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..53a75ebb3dc517777cb7ffbb3fe7f9ebacee035d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:03:33.319158+00:00", + "ended_at": "2026-05-19T16:03:52.802502+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_46750f3a1775058d", + "problem_id": "v2p_m7_0a45e89b803a1881", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=115" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46750f3a1775058d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7eb31c1d313629f35be253c107ab857f32fe584d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:36.630399+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3309.3, "started_at": "2026-05-19T16:03:33.320350+00:00", "ended_at": "2026-05-19T16:03:36.629677+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-6a5a-7ef1-aba9-3f91a085bed2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:52.798124+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15165.89, "started_at": "2026-05-19T16:03:37.631172+00:00", "ended_at": "2026-05-19T16:03:52.797096+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c4f7f590843f31cfe312f14e8dd56535f65eaeda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46750f3a1775058d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_46a4dd6a2591854d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0519920c151e717956905db933f4c14ceda39173 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"bmi": 97.6}, {"bmi": 92.0}, {"bmi": 78.0}, {"bmi": 71.9}, {"bmi": 66.8}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..948786193fb60c2dda8e8cb8bd356eb9e2970576 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/generated_sql.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: m7 +-- 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_m7_46a4dd6a2591854d +-- problem_id: v2p_m7_6213c92d6ac604c6 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("bmi" AS REAL) AS "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "bmi" IS NOT NULL AND "bmi" <> '' +) +SELECT "bmi" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "bmi" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b66c2476daa22e6e522382f0e38a5d970cdd2317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"bmi\"], \"rows\": [{\"bmi\": 97.6}, {\"bmi\": 92.0}, {\"bmi\": 78.0}, {\"bmi\": 71.9}, {\"bmi\": 66.8}, {\"bmi\": 64.8}, {\"bmi\": 64.4}, {\"bmi\": 63.3}, {\"bmi\": 61.6}, {\"bmi\": 61.2}, {\"bmi\": 60.9}, {\"bmi\": 60.9}, {\"bmi\": 60.2}, {\"bmi\": 59.7}, {\"bmi\": 58.1}, {\"bmi\": 57.9}, {\"bmi\": 57.7}, {\"bmi\": 57.5}, {\"bmi\": 57.3}, {\"bmi\": 57.2}, {\"bmi\": 57.2}, {\"bmi\": 56.6}, {\"bmi\": 56.6}, {\"bmi\": 56.1}, {\"bmi\": 56.0}, {\"bmi\": 55.9}, {\"bmi\": 55.9}, {\"bmi\": 55.7}, {\"bmi\": 55.7}, {\"bmi\": 55.7}, {\"bmi\": 55.7}, {\"bmi\": 55.2}, {\"bmi\": 55.1}, {\"bmi\": 55.0}, {\"bmi\": 55.0}, {\"bmi\": 54.8}, {\"bmi\": 54.7}, {\"bmi\": 54.7}, {\"bmi\": 54.7}, {\"bmi\": 54.6}, {\"bmi\": 54.6}, {\"bmi\": 54.3}, {\"bmi\": 54.2}, {\"bmi\": 54.1}, {\"bmi\": 54.0}, {\"bmi\": 53.9}, {\"bmi\": 53.8}, {\"bmi\": 53.8}, {\"bmi\": 53.5}, {\"bmi\": 53.4}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..63cc678a228223305f0b41fbc84212ef74b3beba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:45:18.822546+00:00", + "ended_at": "2026-05-19T15:45:32.099245+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_46a4dd6a2591854d", + "problem_id": "v2p_m7_6213c92d6ac604c6", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46a4dd6a2591854d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c3b5ffc614a7f164f6c45f27249b6dbf3821f51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:32.090330+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13265.53, "started_at": "2026-05-19T15:45:18.824065+00:00", "ended_at": "2026-05-19T15:45:32.089620+00:00", "prompt_metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a2cf09658e6674b8e0ba70e9f13510f6738ce174 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_46a4dd6a2591854d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_4b5cbef29935adf2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cad3bfc8a681a820c5cd0503589f00b512bcc550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "0", "total_measure": 189890.0}, {"hypertension": "1", "total_measure": 30998.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..55c0f0629331e25671f863a00347a4ccfbc8a525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/generated_sql.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: m7 +-- 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_m7_4b5cbef29935adf2 +-- problem_id: v2p_m7_6bd03985c6e507e0 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "hypertension" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..734260b0dc64bea9387ca2ca546b82a89ecfc6de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"hypertension\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"total_measure\"], \"rows\": [{\"hypertension\": \"0\", \"total_measure\": 189890.0}, {\"hypertension\": \"1\", \"total_measure\": 30998.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c3ecfe279c166c19a6bd3da040a33518eba4a8d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:28:38.297880+00:00", + "ended_at": "2026-05-19T15:28:46.741220+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_4b5cbef29935adf2", + "problem_id": "v2p_m7_6bd03985c6e507e0", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4b5cbef29935adf2.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef7ad39c2460400b41b5f77a05e6b0fbbe9c6a27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:46.733334+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8432.99, "started_at": "2026-05-19T15:28:38.298779+00:00", "ended_at": "2026-05-19T15:28:46.731799+00:00", "prompt_metrics": {"chars": 7655, "bytes_utf8": 7655, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c689877c8a52dc251578f43c978d8fcb297d5cdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4b5cbef29935adf2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_4caac7c7b4e0fe33/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e87a2d16488f95d4db8219d9097e900bb06d4a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "formerly smoked", "bmi": "30.5", "total_measure": 1292.06, "share_within_group": 1.3711869480950247}, {"smoking_status": "formerly smoked", "bmi": "29.4", "total_measure": 1289.77, "share_within_group": 1.3687567063793633}, {"smoking_status": "smokes", "bmi": "35.2", "total_measure": 1065.0, "share_within_group": 1.357289255035543}, {"smoking_status": "smokes", "bmi": "28.4", "total_measure": 1040.61, "share_within_group": 1.326205419420222}, {"smoking_status": "smokes", "bmi": "29.4", "total_measure": 989.22, "share_within_group": 1.2607114336772394}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9eb803a4194776f5f10f377289f5bbc3d712652 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/generated_sql.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: m7 +-- 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_m7_4caac7c7b4e0fe33 +-- problem_id: v2p_m7_07ef8c60f9e6193a +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoking_status", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + 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 +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "smoking_status", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e74ac943d94ae6f4639d9d532fbb1fd8aaaf40c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"smoking_status\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.5\", \"total_measure\": 1292.06, \"share_within_group\": 1.3711869480950247}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"29.4\", \"total_measure\": 1289.77, \"share_within_group\": 1.3687567063793633}, {\"smoking_status\": \"smokes\", \"bmi\": \"35.2\", \"total_measure\": 1065.0, \"share_within_group\": 1.357289255035543}, {\"smoking_status\": \"smokes\", \"bmi\": \"28.4\", \"total_measure\": 1040.61, \"share_within_group\": 1.326205419420222}, {\"smoking_status\": \"smokes\", \"bmi\": \"29.4\", \"total_measure\": 989.22, \"share_within_group\": 1.2607114336772394}, {\"smoking_status\": \"smokes\", \"bmi\": \"24.9\", \"total_measure\": 932.74, \"share_within_group\": 1.1887304974101902}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"27\", \"total_measure\": 1055.91, \"share_within_group\": 1.1205749039232062}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"31.8\", \"total_measure\": 1054.62, \"share_within_group\": 1.119205903131414}, {\"smoking_status\": \"never smoked\", \"bmi\": \"32.3\", \"total_measure\": 2200.34, \"share_within_group\": 1.108951397987675}, {\"smoking_status\": \"smokes\", \"bmi\": \"31.4\", \"total_measure\": 865.93, \"share_within_group\": 1.1035844925942984}, {\"smoking_status\": \"smokes\", \"bmi\": \"23\", \"total_measure\": 859.74, \"share_within_group\": 1.0956956470650308}, {\"smoking_status\": \"smokes\", \"bmi\": \"28.7\", \"total_measure\": 825.4, \"share_within_group\": 1.0519310339026642}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"34.3\", \"total_measure\": 989.9300000000001, \"share_within_group\": 1.0505542277662863}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28\", \"total_measure\": 985.91, \"share_within_group\": 1.0462880392523304}, {\"smoking_status\": \"Unknown\", \"bmi\": \"19.5\", \"total_measure\": 1521.48, \"share_within_group\": 1.0433088225109164}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"29.3\", \"total_measure\": 974.87, \"share_within_group\": 1.0345719394528095}, {\"smoking_status\": \"never smoked\", \"bmi\": \"25.5\", \"total_measure\": 2050.24, \"share_within_group\": 1.0333023597308828}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.2\", \"total_measure\": 972.94, \"share_within_group\": 1.0325237444697408}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28.7\", \"total_measure\": 956.71, \"share_within_group\": 1.0152998042753365}, {\"smoking_status\": \"never smoked\", \"bmi\": \"28.4\", \"total_measure\": 2012.06, \"share_within_group\": 1.014059986109002}, {\"smoking_status\": \"Unknown\", \"bmi\": \"29.1\", \"total_measure\": 1471.78, \"share_within_group\": 1.0092285529846705}, {\"smoking_status\": \"smokes\", \"bmi\": \"26.6\", \"total_measure\": 780.87, \"share_within_group\": 0.995179775192117}, {\"smoking_status\": \"smokes\", \"bmi\": \"27.9\", \"total_measure\": 778.54, \"share_within_group\": 0.9922103066811002}, {\"smoking_status\": \"never smoked\", \"bmi\": \"35.8\", \"total_measure\": 1963.89, \"share_within_group\": 0.9897827431187978}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"27.3\", \"total_measure\": 919.53, \"share_within_group\": 0.9758428667258627}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.3\", \"total_measure\": 915.82, \"share_within_group\": 0.9719056628983063}, {\"smoking_status\": \"Unknown\", \"bmi\": \"18\", \"total_measure\": 1410.51, \"share_within_group\": 0.967214506427868}, {\"smoking_status\": \"smokes\", \"bmi\": \"31.7\", \"total_measure\": 749.77, \"share_within_group\": 0.9555443800450696}, {\"smoking_status\": \"smokes\", \"bmi\": \"27\", \"total_measure\": 742.96, \"share_within_group\": 0.9468653755128705}, {\"smoking_status\": \"smokes\", \"bmi\": \"26.4\", \"total_measure\": 741.1800000000001, \"share_within_group\": 0.9445968545044543}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"34.5\", \"total_measure\": 878.4, \"share_within_group\": 0.9321940275271039}, {\"smoking_status\": \"Unknown\", \"bmi\": \"18.6\", \"total_measure\": 1349.94, \"share_within_group\": 0.9256804636672098}, {\"smoking_status\": \"smokes\", \"bmi\": \"23.8\", \"total_measure\": 713.46, \"share_within_group\": 0.9092691003733884}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28.8\", \"total_measure\": 856.79, \"share_within_group\": 0.9092606111622806}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"25.5\", \"total_measure\": 850.72, \"share_within_group\": 0.9028188787543918}, {\"smoking_status\": \"smokes\", \"bmi\": \"34.1\", \"total_measure\": 706.75, \"share_within_group\": 0.9007175408416621}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"31.1\", \"total_measure\": 837.97, \"share_within_group\": 0.8892880569750538}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"27.2\", \"total_measure\": 836.51, \"share_within_group\": 0.887738645226204}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"30.7\", \"total_measure\": 826.7, \"share_within_group\": 0.8773278717630427}, {\"smoking_status\": \"smokes\", \"bmi\": \"31.6\", \"total_measure\": 684.49, \"share_within_group\": 0.8723482837364122}, {\"smoking_status\": \"Unknown\", \"bmi\": \"27.7\", \"total_measure\": 1270.78, \"share_within_group\": 0.8713988915203764}, {\"smoking_status\": \"never smoked\", \"bmi\": \"28.6\", \"total_measure\": 1716.58, \"share_within_group\": 0.8651407467744455}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"28.5\", \"total_measure\": 814.47, \"share_within_group\": 0.8643488952641168}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"24\", \"total_measure\": 812.45, \"share_within_group\": 0.8622051885979002}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"31.3\", \"total_measure\": 811.27, \"share_within_group\": 0.860952924307734}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"26.1\", \"total_measure\": 806.31, \"share_within_group\": 0.8556891693253406}, {\"smoking_status\": \"formerly smoked\", \"bmi\": \"33.7\", \"total_measure\": 805.11, \"share_within_group\": 0.8544156802166969}, {\"smoking_status\": \"smokes\", \"bmi\": \"30.7\", \"total_measure\": 669.5799999999999, \"share_within_group\": 0.8533462341659145}, {\"smoking_status\": \"smokes\", \"bmi\": \"32\", \"total_measure\": 668.77, \"share_within_group\": 0.8523139296620846}, {\"smoking_status\": \"never smoked\", \"bmi\": \"26.1\", \"total_measure\": 1685.76, \"share_within_group\": 0.849607746380879}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5f25965c23bd0abf05b9a9c4802f50d4bfdbe548 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:36:54.230363+00:00", + "ended_at": "2026-05-19T15:37:10.445167+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_4caac7c7b4e0fe33", + "problem_id": "v2p_m7_07ef8c60f9e6193a", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4caac7c7b4e0fe33.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74c95121904c8388b1135750a0a25d5b39454f09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:10.430484+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16197.39, "started_at": "2026-05-19T15:36:54.232034+00:00", "ended_at": "2026-05-19T15:37:10.429453+00:00", "prompt_metrics": {"chars": 8095, "bytes_utf8": 8095, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..993c8263f20e7739225787dd51452d9360729152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4caac7c7b4e0fe33/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_4d5848cd17caed61/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0897af326ec97543ad9303acbce8131ca0abc7b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/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": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14345, "cached_input_tokens": 13696, "output_tokens": 365, "reasoning_output_tokens": 261}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a8206341879c262c88d976da9eaffe4680d3167a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/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_4d5848cd17caed61", + "api_calls": 0, + "input_tokens": 14345, + "cached_input_tokens": 13696, + "output_tokens": 365, + "total_tokens": 14710, + "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": 8750.98, + "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_4d5848cd17caed61/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_4d5848cd17caed61/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4c07b7e3e0c6a266466eaf94467c5430683b04d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/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": "2026-05-19T15:59:49.642686+00:00", + "ended_at": "2026-05-19T15:59:58.393695+00:00", + "elapsed_ms": 8750.98, + "prompt_metrics": { + "chars": 7930, + "bytes_utf8": 7930, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 722, + "bytes_utf8": 722, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 371, + "bytes_utf8": 371, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14345, + "cached_input_tokens": 13696, + "output_tokens": 365, + "reasoning_output_tokens": 261 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_4d5848cd17caed61/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c71d997ec2e0c3476e15c37f50b941f316fb578 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/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=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": "0", + "positive_value": "0", + "negative_value": "1", + "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 {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_4d5848cd17caed61/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ed3434eab87febf8f4e919ecd3afcf6ffed2884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-00b4-77c2-b3b1-cbae0ddf3be5"} +{"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\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required template with both group_col and condition_col bound to \\\"heart_disease\\\" and condition_value bound to '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14345,"cached_input_tokens":13696,"output_tokens":365,"reasoning_output_tokens":261}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69bb4d60c825a7d683ecc2aeaaf23c97960ba4f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/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\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY condition_rate DESC;","notes":"Uses the required template with both group_col and condition_col bound to \"heart_disease\" and condition_value bound to '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4371d816c29112f8506e947fcbb71336af70ae1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=hypertension, condition_col=hypertension. +Result preview: [{"hypertension": "1", "condition_ratio": 0.0}, {"hypertension": "0", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..67ca500504aa1dc1fdcb5286a4fd310ed2a30d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/generated_sql.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: m7 +-- 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_m7_4f12b7be60730b40 +-- problem_id: v2p_m7_861ecff7b1557d20 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "hypertension", + SUM(CASE WHEN "hypertension" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "hypertension" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "hypertension" +) +SELECT "hypertension", + 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/m7/artifacts/v2q_m7_4f12b7be60730b40/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bcb9a00f604bdc3b47745c00983ba16f9a04cdfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"condition_ratio\"], \"rows\": [{\"hypertension\": \"1\", \"condition_ratio\": 0.0}, {\"hypertension\": \"0\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b03fe285fd1c0d4f93d1d88e3aa084564fb63d0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:40:15.197882+00:00", + "ended_at": "2026-05-19T15:40:27.322207+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_4f12b7be60730b40", + "problem_id": "v2p_m7_861ecff7b1557d20", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=hypertension, condition_col=hypertension.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4f12b7be60730b40.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..23a5af2385ba06681e93a88d6e5c3a151503e125 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:27.318670+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12118.77, "started_at": "2026-05-19T15:40:15.198986+00:00", "ended_at": "2026-05-19T15:40:27.317807+00:00", "prompt_metrics": {"chars": 8479, "bytes_utf8": 8479, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ec5caca5fea440c777d059730f20f919a1e0c9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4f12b7be60730b40/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_5025de02a2389f0e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9177c462aa11b0dfae8a07888da606514a79cfc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level. +Result preview: [{"empirical_cdf_at_threshold": 0.7500978473581214}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c3da85212536e63a4aa094fb3838ccd1cc0b721d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/generated_sql.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: m7 +-- 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_m7_5025de02a2389f0e +-- problem_id: v2p_m7_85f23bf422bbadcf +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("avg_glucose_level" AS REAL) <= 114.09 THEN 1.0 ELSE 0.0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..087c214367b404d62bc7d9e8e42685245b78563a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"avg_glucose_level\" AS REAL) <= 114.09 THEN 1.0 ELSE 0.0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7500978473581214}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cbaa01cf60b2ca544efb90a4ed248e84166b6cdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:02:41.496836+00:00", + "ended_at": "2026-05-19T16:02:50.201608+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5025de02a2389f0e", + "problem_id": "v2p_m7_85f23bf422bbadcf", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5025de02a2389f0e.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a33da498d63ac94a1a2728d2d3ebf55a6a439926 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:50.199134+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8699.51, "started_at": "2026-05-19T16:02:41.498843+00:00", "ended_at": "2026-05-19T16:02:50.198388+00:00", "prompt_metrics": {"chars": 7615, "bytes_utf8": 7615, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3ddccebfd6598752f819dc3ad5df3a43986015d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5025de02a2389f0e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_50f1fa50f943e408/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..36108c210894f773103bb48469f8d34a18b719be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "1", "bmi": "31", "total_measure": 840.82, "share_within_group": 2.5558361531568443}, {"heart_disease": "1", "bmi": "32.2", "total_measure": 758.87, "share_within_group": 2.306733167082294}, {"heart_disease": "1", "bmi": "32.5", "total_measure": 624.25, "share_within_group": 1.8975294576819774}, {"heart_disease": "1", "bmi": "34.5", "total_measure": 576.78, "share_within_group": 1.7532351471394647}, {"heart_disease": "1", "bmi": "28", "total_measure": 546.17, "share_within_group": 1.660190090351887}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c3b5353cc5e6ff294b7a45e6370a93a10d7d18f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/generated_sql.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: m7 +-- 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_m7_50f1fa50f943e408 +-- problem_id: v2p_m7_2da138d52913f9c6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "heart_disease", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50457c2192b2eba913548a9dc146235138bb0de9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"heart_disease\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"heart_disease\": \"1\", \"bmi\": \"31\", \"total_measure\": 840.82, \"share_within_group\": 2.5558361531568443}, {\"heart_disease\": \"1\", \"bmi\": \"32.2\", \"total_measure\": 758.87, \"share_within_group\": 2.306733167082294}, {\"heart_disease\": \"1\", \"bmi\": \"32.5\", \"total_measure\": 624.25, \"share_within_group\": 1.8975294576819774}, {\"heart_disease\": \"1\", \"bmi\": \"34.5\", \"total_measure\": 576.78, \"share_within_group\": 1.7532351471394647}, {\"heart_disease\": \"1\", \"bmi\": \"28\", \"total_measure\": 546.17, \"share_within_group\": 1.660190090351887}, {\"heart_disease\": \"1\", \"bmi\": \"24.1\", \"total_measure\": 498.23, \"share_within_group\": 1.5144671232693498}, {\"heart_disease\": \"1\", \"bmi\": \"22\", \"total_measure\": 476.11, \"share_within_group\": 1.4472290750452002}, {\"heart_disease\": \"1\", \"bmi\": \"31.1\", \"total_measure\": 473.12, \"share_within_group\": 1.438140387694829}, {\"heart_disease\": \"1\", \"bmi\": \"28.1\", \"total_measure\": 466.49, \"share_within_group\": 1.4179872113961804}, {\"heart_disease\": \"1\", \"bmi\": \"30.5\", \"total_measure\": 460.36, \"share_within_group\": 1.3993538824805367}, {\"heart_disease\": \"1\", \"bmi\": \"26.1\", \"total_measure\": 456.86, \"share_within_group\": 1.3887149507995005}, {\"heart_disease\": \"1\", \"bmi\": \"30.7\", \"total_measure\": 454.93, \"share_within_group\": 1.3828483399011005}, {\"heart_disease\": \"1\", \"bmi\": \"27.9\", \"total_measure\": 444.86, \"share_within_group\": 1.352238613607376}, {\"heart_disease\": \"1\", \"bmi\": \"29.8\", \"total_measure\": 443.88, \"share_within_group\": 1.3492597127366859}, {\"heart_disease\": \"1\", \"bmi\": \"25.5\", \"total_measure\": 438.8, \"share_within_group\": 1.3338180633253531}, {\"heart_disease\": \"1\", \"bmi\": \"26.5\", \"total_measure\": 423.01, \"share_within_group\": 1.2858212829700493}, {\"heart_disease\": \"1\", \"bmi\": \"31.5\", \"total_measure\": 422.1, \"share_within_group\": 1.2830551607329799}, {\"heart_disease\": \"1\", \"bmi\": \"30\", \"total_measure\": 420.91999999999996, \"share_within_group\": 1.2794683209090874}, {\"heart_disease\": \"1\", \"bmi\": \"34.2\", \"total_measure\": 414.4, \"share_within_group\": 1.2596495110347}, {\"heart_disease\": \"1\", \"bmi\": \"36.8\", \"total_measure\": 412.87, \"share_within_group\": 1.254998778042704}, {\"heart_disease\": \"1\", \"bmi\": \"24.9\", \"total_measure\": 411.85, \"share_within_group\": 1.2518982893813735}, {\"heart_disease\": \"1\", \"bmi\": \"41.9\", \"total_measure\": 409.06, \"share_within_group\": 1.2434175409842045}, {\"heart_disease\": \"1\", \"bmi\": \"28.7\", \"total_measure\": 406.90999999999997, \"share_within_group\": 1.236882197237282}, {\"heart_disease\": \"1\", \"bmi\": \"31.9\", \"total_measure\": 405.53, \"share_within_group\": 1.232687418460188}, {\"heart_disease\": \"1\", \"bmi\": \"39\", \"total_measure\": 385.91999999999996, \"share_within_group\": 1.1730790040987242}, {\"heart_disease\": \"1\", \"bmi\": \"28.2\", \"total_measure\": 378.17, \"share_within_group\": 1.149521369662144}, {\"heart_disease\": \"1\", \"bmi\": \"27.3\", \"total_measure\": 374.57, \"share_within_group\": 1.1385784685045066}, {\"heart_disease\": \"1\", \"bmi\": \"29.4\", \"total_measure\": 356.71, \"share_within_group\": 1.0842895199835614}, {\"heart_disease\": \"1\", \"bmi\": \"29.2\", \"total_measure\": 344.81, \"share_within_group\": 1.048117152268038}, {\"heart_disease\": \"1\", \"bmi\": \"26.4\", \"total_measure\": 338.70000000000005, \"share_within_group\": 1.0295446172477147}, {\"heart_disease\": \"1\", \"bmi\": \"25\", \"total_measure\": 328.15, \"share_within_group\": 0.997475837466305}, {\"heart_disease\": \"1\", \"bmi\": \"21.7\", \"total_measure\": 321.32, \"share_within_group\": 0.9767147222144541}, {\"heart_disease\": \"1\", \"bmi\": \"28.3\", \"total_measure\": 319.6, \"share_within_group\": 0.9714864472169163}, {\"heart_disease\": \"1\", \"bmi\": \"27.7\", \"total_measure\": 313.41, \"share_within_group\": 0.9526707366153121}, {\"heart_disease\": \"1\", \"bmi\": \"28.6\", \"total_measure\": 309.84, \"share_within_group\": 0.9418190263006548}, {\"heart_disease\": \"1\", \"bmi\": \"33\", \"total_measure\": 307.82, \"share_within_group\": 0.935678842873314}, {\"heart_disease\": \"1\", \"bmi\": \"30.9\", \"total_measure\": 303.94, \"share_within_group\": 0.9238848271811938}, {\"heart_disease\": \"1\", \"bmi\": \"29.7\", \"total_measure\": 295.53, \"share_within_group\": 0.8983209941990463}, {\"heart_disease\": \"1\", \"bmi\": \"29.6\", \"total_measure\": 294.33, \"share_within_group\": 0.894673360479834}, {\"heart_disease\": \"1\", \"bmi\": \"24.2\", \"total_measure\": 289.77, \"share_within_group\": 0.8808123523468268}, {\"heart_disease\": \"1\", \"bmi\": \"30.4\", \"total_measure\": 287.88, \"share_within_group\": 0.8750673292390672}, {\"heart_disease\": \"1\", \"bmi\": \"30.8\", \"total_measure\": 284.75, \"share_within_group\": 0.8655530846214546}, {\"heart_disease\": \"1\", \"bmi\": \"32.9\", \"total_measure\": 267.95, \"share_within_group\": 0.8144862125524803}, {\"heart_disease\": \"1\", \"bmi\": \"35.2\", \"total_measure\": 266.18, \"share_within_group\": 0.809105952816642}, {\"heart_disease\": \"0\", \"bmi\": \"28.7\", \"total_measure\": 3788.4, \"share_within_group\": 0.7826546022772183}, {\"heart_disease\": \"0\", \"bmi\": \"28.4\", \"total_measure\": 3741.78, \"share_within_group\": 0.7730232651538512}, {\"heart_disease\": \"0\", \"bmi\": \"26.1\", \"total_measure\": 3737.0099999999998, \"share_within_group\": 0.7720378194636225}, {\"heart_disease\": \"0\", \"bmi\": \"27\", \"total_measure\": 3669.4300000000003, \"share_within_group\": 0.7580763058901101}, {\"heart_disease\": \"0\", \"bmi\": \"26.7\", \"total_measure\": 3669.18, \"share_within_group\": 0.758024657793138}, {\"heart_disease\": \"1\", \"bmi\": \"40.5\", \"total_measure\": 247.51, \"share_within_group\": 0.7523548515352282}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e3153f35bc8defcf49f04f706cd85a4ccd445b05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:38:54.339843+00:00", + "ended_at": "2026-05-19T15:39:06.437650+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_50f1fa50f943e408", + "problem_id": "v2p_m7_2da138d52913f9c6", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_50f1fa50f943e408.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..278a91b7869d08ed6ac88de1087f879240f85db6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:06.429491+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12087.58, "started_at": "2026-05-19T15:38:54.341048+00:00", "ended_at": "2026-05-19T15:39:06.428665+00:00", "prompt_metrics": {"chars": 8092, "bytes_utf8": 8092, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f0cf13eb9df9f3fb2086d331fd5557ef368bf3c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_50f1fa50f943e408/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_510b022dac468f99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dd42f9b07810f2347a76cae00910bfff16c4cd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Residence_type, group_col_2=smoking_status. +Result preview: [{"Residence_type": "Urban", "smoking_status": "Unknown", "row_count": 459}, {"Residence_type": "Rural", "smoking_status": "Unknown", "row_count": 442}, {"Residence_type": "Rural", "smoking_status": "never smoked", "row_count": 271}, {"Residence_type": "Urban", "smoking_status": "never smoked", "row_count": 259}, {"Residence_type": "Urban", "smoking_status": "smokes", "row_count": 94}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cd8a08821c29440a84a278aa69cfbd497f4e7ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/generated_sql.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: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_510b022dac468f99 +-- problem_id: v2p_m7_03ff7942cea14528 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", "smoking_status", COUNT(*) AS row_count +FROM "m7" +WHERE "ever_married" = 'No' +GROUP BY "Residence_type", "smoking_status" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e9bd6714e629e4d5a494bf96ac9bcbbff1a8f116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"Residence_type\", \"smoking_status\", \"row_count\"], \"rows\": [{\"Residence_type\": \"Urban\", \"smoking_status\": \"Unknown\", \"row_count\": 459}, {\"Residence_type\": \"Rural\", \"smoking_status\": \"Unknown\", \"row_count\": 442}, {\"Residence_type\": \"Rural\", \"smoking_status\": \"never smoked\", \"row_count\": 271}, {\"Residence_type\": \"Urban\", \"smoking_status\": \"never smoked\", \"row_count\": 259}, {\"Residence_type\": \"Urban\", \"smoking_status\": \"smokes\", \"row_count\": 94}, {\"Residence_type\": \"Rural\", \"smoking_status\": \"smokes\", \"row_count\": 85}, {\"Residence_type\": \"Rural\", \"smoking_status\": \"formerly smoked\", \"row_count\": 74}, {\"Residence_type\": \"Urban\", \"smoking_status\": \"formerly smoked\", \"row_count\": 73}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c79eaf2bf4b5a22b6ee1d52f54cf7134b4f7b432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:42:30.088696+00:00", + "ended_at": "2026-05-19T15:43:05.876667+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_510b022dac468f99", + "problem_id": "v2p_m7_03ff7942cea14528", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Residence_type, group_col_2=smoking_status.", + "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 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=53" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_510b022dac468f99.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..209fba578a36d1f022d5833bfb3d12af66c402a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:05.872615+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 35780.66, "started_at": "2026-05-19T15:42:30.090837+00:00", "ended_at": "2026-05-19T15:43:05.871539+00:00", "prompt_metrics": {"chars": 7995, "bytes_utf8": 7995, "lines": 244, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81c151ab138a08d5b1ff35472f030a8938c8ec16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_510b022dac468f99/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_513cc63fbf0f6393/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5a3b9f1cd577696e1404f7aa2d1f2e9bb229236 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"hypertension": "0", "total_rows": 4612, "missing_rows": 0, "missing_rate": 0.0}, {"hypertension": "1", "total_rows": 498, "missing_rows": 0, "missing_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_513cc63fbf0f6393/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..34df88327bbc363915963cd5803fe83c16ab50cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/generated_sql.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: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_513cc63fbf0f6393 +-- problem_id: v2p_m7_43c225c41623ce4d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hypertension", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "hypertension" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f4b80766e241e2507fc9443004b5b39ee6bc057 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_513cc63fbf0f6393\n-- problem_id: v2p_m7_43c225c41623ce4d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"hypertension\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_513cc63fbf0f6393\\n-- problem_id: v2p_m7_43c225c41623ce4d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"hypertension\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"hypertension\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"hypertension\": \"0\", \"total_rows\": 4612, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"hypertension\": \"1\", \"total_rows\": 498, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d581c6d32b2543c24292a8fe0fa658cd7bce767 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.812940+00:00", + "ended_at": "2026-05-19T16:09:16.815621+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_513cc63fbf0f6393", + "problem_id": "v2p_m7_43c225c41623ce4d", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=hypertension, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "hypertension" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_513cc63fbf0f6393.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_513cc63fbf0f6393/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..94b042425589d4255c0e48f77bc9ebabb432f9c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Rural", "avg_glucose_level": "91.85", "total_measure": 249.0, "share_within_group": 0.23087056561619632}, {"Residence_type": "Rural", "avg_glucose_level": "95.49", "total_measure": 223.0, "share_within_group": 0.2067635989253485}, {"Residence_type": "Rural", "avg_glucose_level": "60.98", "total_measure": 219.0, "share_within_group": 0.20305483481906422}, {"Residence_type": "Urban", "avg_glucose_level": "91.68", "total_measure": 218.0, "share_within_group": 0.19286000416152962}, {"Residence_type": "Rural", "avg_glucose_level": "83.16", "total_measure": 194.0, "share_within_group": 0.1798750591547875}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..26cbe4c2f1f40a45207d20d16735035a10f1cec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/generated_sql.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: m7 +-- 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_m7_536cffbd63c75c63 +-- problem_id: v2p_m7_869cfeb9b88157a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "Residence_type") AS share_within_group +FROM "m7" +WHERE NULLIF("Residence_type", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("age", '') IS NOT NULL +GROUP BY "Residence_type", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae5e13b9a28213c945f610f547fa5d16ef8d5dfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"Residence_type\", \"avg_glucose_level\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"91.85\", \"total_measure\": 249.0, \"share_within_group\": 0.23087056561619632}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"95.49\", \"total_measure\": 223.0, \"share_within_group\": 0.2067635989253485}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"60.98\", \"total_measure\": 219.0, \"share_within_group\": 0.20305483481906422}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"91.68\", \"total_measure\": 218.0, \"share_within_group\": 0.19286000416152962}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"83.16\", \"total_measure\": 194.0, \"share_within_group\": 0.1798750591547875}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"56.11\", \"total_measure\": 182.0, \"share_within_group\": 0.16874876683593465}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"85.82\", \"total_measure\": 188.0, \"share_within_group\": 0.166319636616365}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"65.98\", \"total_measure\": 179.0, \"share_within_group\": 0.1583575263528156}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"82.57\", \"total_measure\": 167.0, \"share_within_group\": 0.15484090143736862}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"95.36\", \"total_measure\": 161.0, \"share_within_group\": 0.1492777552779422}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"76.64\", \"total_measure\": 157.0, \"share_within_group\": 0.14556899117165792}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"88.83\", \"total_measure\": 162.0, \"share_within_group\": 0.143317984743889}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"82.27\", \"total_measure\": 153.0, \"share_within_group\": 0.14186022706537366}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"80.44\", \"total_measure\": 159.0, \"share_within_group\": 0.14066394798937254}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"93.13\", \"total_measure\": 159.0, \"share_within_group\": 0.14066394798937254}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"67.92\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"80.43\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"85.29\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"85.6\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"228.7\", \"total_measure\": 157.0, \"share_within_group\": 0.1388945901530282}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"218.46\", \"total_measure\": 156.0, \"share_within_group\": 0.13800991123485606}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"73\", \"total_measure\": 156.0, \"share_within_group\": 0.13800991123485606}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"90.19\", \"total_measure\": 156.0, \"share_within_group\": 0.13800991123485606}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"62.6\", \"total_measure\": 148.0, \"share_within_group\": 0.1372242719325183}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"73.89\", \"total_measure\": 155.0, \"share_within_group\": 0.13712523231668391}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"68.34\", \"total_measure\": 147.0, \"share_within_group\": 0.13629708090594722}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"74.9\", \"total_measure\": 146.0, \"share_within_group\": 0.13536988987937615}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"205.23\", \"total_measure\": 145.0, \"share_within_group\": 0.13444269885280508}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"81.68\", \"total_measure\": 145.0, \"share_within_group\": 0.13444269885280508}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"111.81\", \"total_measure\": 151.0, \"share_within_group\": 0.1335865166439953}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"99.68\", \"total_measure\": 151.0, \"share_within_group\": 0.1335865166439953}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"91.82\", \"total_measure\": 141.0, \"share_within_group\": 0.1307339347465208}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"82.21\", \"total_measure\": 147.0, \"share_within_group\": 0.13004780097130667}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"113.68\", \"total_measure\": 140.0, \"share_within_group\": 0.12980674371994974}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"57.42\", \"total_measure\": 145.0, \"share_within_group\": 0.12827844313496237}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"86.06\", \"total_measure\": 145.0, \"share_within_group\": 0.12827844313496237}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"117.63\", \"total_measure\": 138.0, \"share_within_group\": 0.1279523616668076}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"93.48\", \"total_measure\": 138.0, \"share_within_group\": 0.1279523616668076}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"90.9\", \"total_measure\": 144.0, \"share_within_group\": 0.12739376421679022}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"89.68\", \"total_measure\": 143.0, \"share_within_group\": 0.12650908529861807}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"100.54\", \"total_measure\": 142.0, \"share_within_group\": 0.12562440638044592}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"93.85\", \"total_measure\": 135.0, \"share_within_group\": 0.12517078858709438}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"114.09\", \"total_measure\": 141.0, \"share_within_group\": 0.12473972746227376}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"214.77\", \"total_measure\": 141.0, \"share_within_group\": 0.12473972746227376}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"84.79\", \"total_measure\": 134.0, \"share_within_group\": 0.12424359756052332}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"70.28\", \"total_measure\": 140.0, \"share_within_group\": 0.12385504854410159}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"90.01\", \"total_measure\": 140.0, \"share_within_group\": 0.12385504854410159}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"68.35\", \"total_measure\": 131.88, \"share_within_group\": 0.12227795258419265}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"74.35\", \"total_measure\": 138.0, \"share_within_group\": 0.1220856907077573}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"71.38\", \"total_measure\": 137.0, \"share_within_group\": 0.12120101178958513}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 31.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6fd62c155316ee983c727a9dc98bbf647f08dde9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:36:41.809562+00:00", + "ended_at": "2026-05-19T15:36:54.229191+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_536cffbd63c75c63", + "problem_id": "v2p_m7_869cfeb9b88157a1", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Residence_type, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_536cffbd63c75c63.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b038310245fb48f4139bc0797ea7dd4d82c7499d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:54.194825+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12382.59, "started_at": "2026-05-19T15:36:41.811075+00:00", "ended_at": "2026-05-19T15:36:54.193702+00:00", "prompt_metrics": {"chars": 8081, "bytes_utf8": 8081, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..14e32538f9099c136814580c899bbf03ec489783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_536cffbd63c75c63/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_5692545efdd326b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4aed18a15e28540157aeafcbbe891b97a0df7c9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:10.773022+00:00", + "ended_at": "2026-05-19T16:06:14.229720+00:00", + "elapsed_ms": 3456.67, + "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_5692545efdd326b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d2001a5963e8b6c57324d17a9da28e2a7ef491fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:15.231665+00:00", + "ended_at": "2026-05-19T16:06:18.088319+00:00", + "elapsed_ms": 2856.62, + "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_5692545efdd326b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae8e3cf38f9c6a6c6ca0ac8676eebd2a6e6a038d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/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=smoking_status.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "smoking_status", + "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\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_5692545efdd326b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae8e3cf38f9c6a6c6ca0ac8676eebd2a6e6a038d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/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=smoking_status.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "smoking_status", + "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\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_5692545efdd326b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aab1883533b1fc88ef3be20a90d5cf6ffb98142e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-d152-7db2-ad42-06f28d167093"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_5692545efdd326b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..57d4f382392cf3cbfb134d9aaa0d809ec01a513e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-d152-7db2-ad42-06f28d167093"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_5692545efdd326b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0bb4bdf1804d8323225754c506c870d0d07a91e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-e2d3-70d3-b534-9ba0c0ae4316"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_5692545efdd326b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8da8b151c30a578ae01c41594efd4440b94fe8a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-e2d3-70d3-b534-9ba0c0ae4316"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_5692545efdd326b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/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_5692545efdd326b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/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_56a6d4178516c3f8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..924ea0e738194e0c780605675f914ac61eebf38a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:07:12.859691+00:00", + "ended_at": "2026-05-19T16:07:19.692821+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_56a6d4178516c3f8", + "problem_id": "v2p_m7_3f268fbecfada437", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Residence_type, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9dc026cda5c0f7c6072a53063641323d26ead5d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_56a6d4178516c3f8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:15.852410+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2990.61, "started_at": "2026-05-19T16:07:12.860772+00:00", "ended_at": "2026-05-19T16:07:15.851412+00:00", "prompt_metrics": {"chars": 7746, "bytes_utf8": 7746, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-c409-7691-9794-b7dba16363dc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:19.692712+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2838.2, "started_at": "2026-05-19T16:07:16.853572+00:00", "ended_at": "2026-05-19T16:07:19.691804+00:00", "prompt_metrics": {"chars": 7746, "bytes_utf8": 7746, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-d36e-7751-b4f7-664b46fca03b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b18d47292d26df302fd223894db292be50df8eed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "0", "group_value": 504652.65}, {"heart_disease": "1", "group_value": 37761.98}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4b3b568991b5fc0d37091495b524148abee98516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/generated_sql.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: m7 +-- 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_m7_585c0dd3fab76e7b +-- problem_id: v2p_m7_ed63f0cdf6c1cfe0 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "heart_disease", SUM(CAST("avg_glucose_level" AS REAL)) AS "group_value" + FROM "m7" + WHERE "heart_disease" IS NOT NULL + AND "heart_disease" <> '' + AND "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' + GROUP BY "heart_disease" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."heart_disease", 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/m7/artifacts/v2q_m7_585c0dd3fab76e7b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..233cf4e43580414ee07aae3599aea5e4248fd031 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"heart_disease\", \"group_value\"], \"rows\": [{\"heart_disease\": \"0\", \"group_value\": 504652.65}, {\"heart_disease\": \"1\", \"group_value\": 37761.98}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..acd79e4b1cf8483c7c1c268c44077f0b19dad59d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:47:13.145581+00:00", + "ended_at": "2026-05-19T15:47:26.301207+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_585c0dd3fab76e7b", + "problem_id": "v2p_m7_ed63f0cdf6c1cfe0", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_585c0dd3fab76e7b.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..adc168b5bbd3d13e9208f04fbf80e7489adc72f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:26.293788+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13145.17, "started_at": "2026-05-19T15:47:13.147221+00:00", "ended_at": "2026-05-19T15:47:26.292438+00:00", "prompt_metrics": {"chars": 8247, "bytes_utf8": 8247, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2ef2b997083b2ab7637eead41ecc71ab790ab01b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_585c0dd3fab76e7b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_5915e918a835cb01/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fbe9d10e097971f1ec16a076bd89e2d0eb60acd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "0", "total_measure": 504652.65}, {"heart_disease": "1", "total_measure": 37761.98}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4bdf0411be8bce47b7b0e6dfe7b2505d26ebcc69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/generated_sql.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: m7 +-- 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_m7_5915e918a835cb01 +-- problem_id: v2p_m7_ccc13efb2c2edc5b +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "heart_disease" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..106b292ab6934301bdd54b6aeb89c5788ad4a56d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"heart_disease\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"heart_disease\", \"total_measure\"], \"rows\": [{\"heart_disease\": \"0\", \"total_measure\": 504652.65}, {\"heart_disease\": \"1\", \"total_measure\": 37761.98}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bd9fd1a8b395ee936a917aac570ac86ca1608c32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:28:54.923973+00:00", + "ended_at": "2026-05-19T15:29:09.693632+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5915e918a835cb01", + "problem_id": "v2p_m7_ccc13efb2c2edc5b", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5915e918a835cb01.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a9c20c2b3c4f13feefe60e6919892f1d018a40ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:09.687905+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14761.91, "started_at": "2026-05-19T15:28:54.924883+00:00", "ended_at": "2026-05-19T15:29:09.686815+00:00", "prompt_metrics": {"chars": 7688, "bytes_utf8": 7688, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f8085cbb77c365054cf1637ac5ed3312f1bab7c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5915e918a835cb01/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_598f81467a5c0900/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2484b463e435de9ac0e73fd7bd65b6eddcfbdc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"stroke": "0", "total_rows": 4861, "missing_rows": 0, "missing_rate": 0.0}, {"stroke": "1", "total_rows": 249, "missing_rows": 0, "missing_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_598f81467a5c0900/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d0e02320853c52c6781fedcfbeb79af37a02167c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/generated_sql.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: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_598f81467a5c0900 +-- problem_id: v2p_m7_c64a5bee144fc747 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "stroke", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76d7360db81d8ea154fa6273c0c5220dfd0137ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_598f81467a5c0900\n-- problem_id: v2p_m7_c64a5bee144fc747\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"stroke\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_598f81467a5c0900\\n-- problem_id: v2p_m7_c64a5bee144fc747\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"stroke\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"stroke\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"stroke\": \"0\", \"total_rows\": 4861, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"stroke\": \"1\", \"total_rows\": 249, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..be96e56b68a6a416dd16e335d2fee713569d8759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.857262+00:00", + "ended_at": "2026-05-19T16:09:16.859611+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_598f81467a5c0900", + "problem_id": "v2p_m7_c64a5bee144fc747", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=stroke, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "stroke" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_598f81467a5c0900.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_598f81467a5c0900/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5a3b9f1cd577696e1404f7aa2d1f2e9bb229236 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"hypertension": "0", "total_rows": 4612, "missing_rows": 0, "missing_rate": 0.0}, {"hypertension": "1", "total_rows": 498, "missing_rows": 0, "missing_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_59ba3a39bb4a9e50/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..23cb49392fd0b1327bf904eab68690249dfebc14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/generated_sql.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: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_59ba3a39bb4a9e50 +-- problem_id: v2p_m7_3a2abcff86f87a38 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hypertension", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "hypertension" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d11c0a83af7e80d0f4e09a2e101567d5bce2f302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_59ba3a39bb4a9e50\n-- problem_id: v2p_m7_3a2abcff86f87a38\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"hypertension\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_59ba3a39bb4a9e50\\n-- problem_id: v2p_m7_3a2abcff86f87a38\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"hypertension\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"hypertension\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"hypertension\": \"0\", \"total_rows\": 4612, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"hypertension\": \"1\", \"total_rows\": 498, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..275183ba37da8ae44eff52068fea95dee4caf6b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.841343+00:00", + "ended_at": "2026-05-19T16:09:16.843901+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_59ba3a39bb4a9e50", + "problem_id": "v2p_m7_3a2abcff86f87a38", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=hypertension, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "hypertension" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_59ba3a39bb4a9e50.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_59ba3a39bb4a9e50/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0778b221300cccc9538771d8d79d93c40a5fb639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:05:38.756115+00:00", + "ended_at": "2026-05-19T16:05:47.351353+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5a8e1c6b28fd6eb7", + "problem_id": "v2p_m7_1a4758146cf7d0af", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=work_type.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..90139de01d252ae3f845b32987099151077ba95a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5a8e1c6b28fd6eb7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:42.083702+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3325.44, "started_at": "2026-05-19T16:05:38.757372+00:00", "ended_at": "2026-05-19T16:05:42.082840+00:00", "prompt_metrics": {"chars": 7652, "bytes_utf8": 7652, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-5448-78a0-9d15-2b6e82540269\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:47.351263+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4266.01, "started_at": "2026-05-19T16:05:43.084491+00:00", "ended_at": "2026-05-19T16:05:47.350527+00:00", "prompt_metrics": {"chars": 7652, "bytes_utf8": 7652, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-6529-7010-83f2-69a94ee7ade3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca902747d4a6333df8086716bbede0cf1f9f585a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=work_type, condition_col=work_type. +Result preview: [{"work_type": "Private", "condition_rate": 1.0}, {"work_type": "children", "condition_rate": 0.0}, {"work_type": "Self-employed", "condition_rate": 0.0}, {"work_type": "Never_worked", "condition_rate": 0.0}, {"work_type": "Govt_job", "condition_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/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ababc3de12bae0d486e99dd5c08cb6a3a0ee4acb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/generated_sql.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: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_5abce03b3382472c +-- problem_id: v2p_m7_b3208958436c9524 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", + AVG(CASE WHEN "work_type" = 'Private' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "work_type" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c972da414ee5978e5a7017bc6401cc8af25e453b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"condition_rate\"], \"rows\": [{\"work_type\": \"Private\", \"condition_rate\": 1.0}, {\"work_type\": \"children\", \"condition_rate\": 0.0}, {\"work_type\": \"Self-employed\", \"condition_rate\": 0.0}, {\"work_type\": \"Never_worked\", \"condition_rate\": 0.0}, {\"work_type\": \"Govt_job\", \"condition_rate\": 0.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8b08114f892a2e0385ab3bc3f3ce79e90d5a84fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:00:26.892331+00:00", + "ended_at": "2026-05-19T16:00:36.613169+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5abce03b3382472c", + "problem_id": "v2p_m7_b3208958436c9524", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=work_type, condition_col=work_type.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5abce03b3382472c.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3298adaab02fea2cd0898fd4b2792b110d541380 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:36.604960+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9710.2, "started_at": "2026-05-19T16:00:26.893233+00:00", "ended_at": "2026-05-19T16:00:36.603463+00:00", "prompt_metrics": {"chars": 7939, "bytes_utf8": 7939, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9d74e54ba27bd18c456357b6e6c648675d3a6e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5abce03b3382472c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_5df1956148251baa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..39ca4a983619283dd94d27362763f509d9cf4090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "formerly smoked", "percentile_measure": 226.11}, {"smoking_status": "smokes", "percentile_measure": 219.67}, {"smoking_status": "never smoked", "percentile_measure": 217.3}, {"smoking_status": "Unknown", "percentile_measure": 194.75}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..11020b7da3bc5176847d23eacecf96abf7528147 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_5df1956148251baa +-- problem_id: v2p_m7_82265f18199169f5 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "smoking_status", + CAST("avg_glucose_level" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoking_status" + ORDER BY CAST("avg_glucose_level" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoking_status" + ) AS "cnt" + FROM "m7" + WHERE NULLIF("avg_glucose_level", '') IS NOT NULL +) +SELECT + "smoking_status", + "measure_value" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CAST(("cnt" * 0.95) + 0.999999 AS INT) +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4e5359ac564fd92e8809cae71d66884e9940a943 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"smoking_status\", \"percentile_measure\"], \"rows\": [{\"smoking_status\": \"formerly smoked\", \"percentile_measure\": 226.11}, {\"smoking_status\": \"smokes\", \"percentile_measure\": 219.67}, {\"smoking_status\": \"never smoked\", \"percentile_measure\": 217.3}, {\"smoking_status\": \"Unknown\", \"percentile_measure\": 194.75}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..727e19de2fde7b0834cde537a457693ac176717a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:52:57.430377+00:00", + "ended_at": "2026-05-19T15:53:25.518503+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5df1956148251baa", + "problem_id": "v2p_m7_82265f18199169f5", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5df1956148251baa.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5435af26db5ea02415b537ac1e2e6b483cc49ee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:53:00.265937+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2833.75, "started_at": "2026-05-19T15:52:57.431505+00:00", "ended_at": "2026-05-19T15:53:00.265277+00:00", "prompt_metrics": {"chars": 7869, "bytes_utf8": 7869, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-b67d-7ec1-8969-327f585203a5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:53:25.502879+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 24234.69, "started_at": "2026-05-19T15:53:01.267370+00:00", "ended_at": "2026-05-19T15:53:25.502103+00:00", "prompt_metrics": {"chars": 7869, "bytes_utf8": 7869, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5df1956148251baa/usage_summary.json 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"/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_5ed5d1b00a18eb17/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db6549ef3a91c6ee482db0a23c785f3a778d9aae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:08.225665+00:00", + "ended_at": "2026-05-19T16:05:12.944836+00:00", + "elapsed_ms": 4719.15, + "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_5ed5d1b00a18eb17/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b165f0f6a9797116d926ee069d707987b6a7b6ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:13.946820+00:00", + "ended_at": "2026-05-19T16:05:19.142007+00:00", + "elapsed_ms": 5195.13, + "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_5ed5d1b00a18eb17/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cea812e06194a5bd53032960c9fb8c711335705c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/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=heart_disease.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "heart_disease", + "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\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_5ed5d1b00a18eb17/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cea812e06194a5bd53032960c9fb8c711335705c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/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=heart_disease.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "heart_disease", + "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\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_5ed5d1b00a18eb17/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b441a8b8dba5fc6f5592ab802d850fa2d8a3ecb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-dd04-7661-9bab-3378c4ca1013"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_5ed5d1b00a18eb17/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d1aa7fd16f19b8741e75609d16e7683055ae6b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-dd04-7661-9bab-3378c4ca1013"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_5ed5d1b00a18eb17/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1034fd7cb7eace9f9fccdec7eadf1c597225a1e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-f38b-7f31-a3d1-b579a823a501"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_5ed5d1b00a18eb17/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b652de7340fa17b65bee5e3668314e3122e9d8be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-f38b-7f31-a3d1-b579a823a501"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_5ed5d1b00a18eb17/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/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_5ed5d1b00a18eb17/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/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_60d047e20351ba77/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e6d6f986b95a1771a35536a9396ede7961260048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7910, "bytes_utf8": 7910, "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": 600, "bytes_utf8": 600, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14340, "cached_input_tokens": 13696, "output_tokens": 489, "reasoning_output_tokens": 335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3b51f2fad8fc01ac42fbca14f5f8c0aea7e62224 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/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_60d047e20351ba77", + "api_calls": 0, + "input_tokens": 14340, + "cached_input_tokens": 13696, + "output_tokens": 489, + "total_tokens": 14829, + "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": 10768.31, + "sql_execution_elapsed_ms_total": 2.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/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_60d047e20351ba77/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..59e7b9bea1796d6c063f2a33d11c99fb201e373d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/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": "2026-05-19T15:59:25.938905+00:00", + "ended_at": "2026-05-19T15:59:36.707242+00:00", + "elapsed_ms": 10768.31, + "prompt_metrics": { + "chars": 7910, + "bytes_utf8": 7910, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 959, + "bytes_utf8": 959, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 600, + "bytes_utf8": 600, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14340, + "cached_input_tokens": 13696, + "output_tokens": 489, + "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_60d047e20351ba77/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00545e179a77e9cb07a22a28d627b89f304c084e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/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=hypertension, condition_col=hypertension.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "hypertension", + "condition_col": "hypertension", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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 {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_60d047e20351ba77/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa17588df1a4ed5485eb8e3d4abd36c4aa7ae505 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-a3ef-7832-997e-22aee010458f"} +{"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\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the requested Grouped Condition Rate template with group_col and condition_col both bound to \\\"hypertension\\\" and condition_value bound to '0'. Because the grouping column and condition column are the same, the result is a direction-consistency probe with deterministic per-group rates: the '0' group yields 1.0 and the '1' group yields 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14340,"cached_input_tokens":13696,"output_tokens":489,"reasoning_output_tokens":335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f0e52f132ded461cceeb55a01c1080f0ae093e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"hypertension\",\n AVG(CASE WHEN \"hypertension\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the requested Grouped Condition Rate template with group_col and condition_col both bound to \"hypertension\" and condition_value bound to '0'. Because the grouping column and condition column are the same, the result is a direction-consistency probe with deterministic per-group rates: the '0' group yields 1.0 and the '1' group yields 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/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_62b827a5b43cce35/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9dac409156ed82eb4494c60551b0f89376a6ff4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8070, "bytes_utf8": 8070, "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": 836, "bytes_utf8": 836, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 12032, "output_tokens": 706, "reasoning_output_tokens": 483}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b4187a62e0700f771d0a185949dc521d943d7502 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/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_62b827a5b43cce35", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 706, + "total_tokens": 15103, + "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": 15734.41, + "sql_execution_elapsed_ms_total": 36.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/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_62b827a5b43cce35/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..65e2fc6f38bae67d533a7d19a78c6ec4f9e04d8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/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": "2026-05-19T15:34:20.922543+00:00", + "ended_at": "2026-05-19T15:34:36.656982+00:00", + "elapsed_ms": 15734.41, + "prompt_metrics": { + "chars": 8070, + "bytes_utf8": 8070, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1235, + "bytes_utf8": 1235, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 836, + "bytes_utf8": 836, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 706, + "reasoning_output_tokens": 483 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_62b827a5b43cce35/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43519717289fea38d438f500e6c70a3f93342abb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/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=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": 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}, {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_62b827a5b43cce35/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd02a8922670e3f0c75c730329a6891baa123c6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-ad1c-7793-89d9-f95d6b2b4b78"} +{"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(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(\\\"hypertension\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"hypertension\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". Because the schema stores values as TEXT, the query casts \\\"age\\\" to REAL and excludes empty strings so aggregation works correctly in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14397,"cached_input_tokens":12032,"output_tokens":706,"reasoning_output_tokens":483}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3679c1a66110a7c11d3d91c80a7b09e49000ea1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/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(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(\"hypertension\", '') IS NOT NULL\n AND NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"age\", '') IS NOT NULL\nGROUP BY \"hypertension\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"hypertension\", item_col=\"avg_glucose_level\", and measure_col=\"age\". Because the schema stores values as TEXT, the query casts \"age\" to REAL and excludes empty strings so aggregation works correctly in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/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_6f57523339d4b581/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f13634a59416f5632e03a0ab905b3dec1a5d51e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7984, "bytes_utf8": 7984, "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": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14373, "cached_input_tokens": 13696, "output_tokens": 264, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9e1b7d2345989b4f297dd4c0b86f5b7975501a4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/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_6f57523339d4b581", + "api_calls": 0, + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 264, + "total_tokens": 14637, + "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": 17607.81, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/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_6f57523339d4b581/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a56a5929da854fead4de7292a4647015c960cc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:59.693063+00:00", + "ended_at": "2026-05-19T15:42:17.300905+00:00", + "elapsed_ms": 17607.81, + "prompt_metrics": { + "chars": 7984, + "bytes_utf8": 7984, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1406, + "bytes_utf8": 1406, + "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": 385, + "bytes_utf8": 385, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 264, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6f57523339d4b581/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32f088d7ec2cd6a6ecfc390af181bf220b38cdfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/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=smoking_status.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "work_type", + "group_col_2": "smoking_status", + "predicate_col": "hypertension", + "predicate_op": "=", + "predicate_value": "1", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_6f57523339d4b581/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d62173ddb5757ed91c1ecea90128030f3405d049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e6-ad28-74b1-82f7-efb5945f8b13"} +{"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 15008. 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 15008. Please try again in 450ms. 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 \\\"work_type\\\", \\\"smoking_status\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"hypertension\\\" = '1'\\nGROUP BY \\\"work_type\\\", \\\"smoking_status\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template using work_type and smoking_status, with hypertension = '1' as the filter.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14373,"cached_input_tokens":13696,"output_tokens":264,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fa7146dfb5809489979ff091cb5fb02b02b04ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"work_type\", \"smoking_status\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"hypertension\" = '1'\nGROUP BY \"work_type\", \"smoking_status\"\nORDER BY row_count DESC;","notes":"Applied the planned filtered two-dimensional group count template using work_type and smoking_status, with hypertension = '1' as the filter."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/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_6fd798bebc907eda/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70149361877b088f3faf9dcd79feef37d60ffa7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14267, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f3bae953c97fb62d5acee41d8f8cf5822f617bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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_6fd798bebc907eda", + "api_calls": 0, + "input_tokens": 14267, + "cached_input_tokens": 12032, + "output_tokens": 417, + "total_tokens": 14684, + "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": 13674.94, + "sql_execution_elapsed_ms_total": 3.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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_6fd798bebc907eda/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9f1528e38115342c40e285e8c26eb646a6c0a4e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:50.203033+00:00", + "ended_at": "2026-05-19T16:02:53.617198+00:00", + "elapsed_ms": 3414.14, + "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_6fd798bebc907eda/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..954a90d54cc181c83dd020f2431902019961a7b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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": "2026-05-19T16:02:54.619245+00:00", + "ended_at": "2026-05-19T16:03:04.880097+00:00", + "elapsed_ms": 10260.8, + "prompt_metrics": { + "chars": 7584, + "bytes_utf8": 7584, + "lines": 238, + "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": 422, + "bytes_utf8": 422, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14267, + "cached_input_tokens": 12032, + "output_tokens": 417, + "reasoning_output_tokens": 293 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_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_6fd798bebc907eda/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae233e83b224f42148525658698aa16e279cf712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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": 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 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_6fd798bebc907eda/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae233e83b224f42148525658698aa16e279cf712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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": 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 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_6fd798bebc907eda/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31ae0803249fca3bf6ac42436e005792f79c50b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c1f1-70d0-a936-48ddf40c5403"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_6fd798bebc907eda/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ccb796ecdac581fd3e4ff7256d1f89a5664fbb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c1f1-70d0-a936-48ddf40c5403"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_6fd798bebc907eda/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f78893719f3894f58b5ec7544761ac341585a56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-d327-7273-b10c-4f25413690a1"} +{"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(NULLIF(\\\"bmi\\\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL;\",\"notes\":\"Applies the Threshold Rarity CDF template on \\\"bmi\\\", casting text BMI values to REAL and excluding empty-string BMI entries so missing values do not bias the empirical CDF at threshold 33.1.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14267,"cached_input_tokens":12032,"output_tokens":417,"reasoning_output_tokens":293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dee421e49e25d0c95346d152654bd6499fef03c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(NULLIF(\"bmi\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\"\nWHERE NULLIF(\"bmi\", '') IS NOT NULL;","notes":"Applies the Threshold Rarity CDF template on \"bmi\", casting text BMI values to REAL and excluding empty-string BMI entries so missing values do not bias the empirical CDF at threshold 33.1."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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_6fd798bebc907eda/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/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_7236ca9401396042/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38d9627eb3a4309f5564f83a6a4188f8ba54d552 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7980, "bytes_utf8": 7980, "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": 504, "bytes_utf8": 504, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14373, "cached_input_tokens": 13696, "output_tokens": 358, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..04372b1d8620698cb2a8ad38c15777314d2392b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/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_7236ca9401396042", + "api_calls": 0, + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 358, + "total_tokens": 14731, + "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": 20363.85, + "sql_execution_elapsed_ms_total": 2.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/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_7236ca9401396042/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd58c3992dc42721a5a7974415f39304bb90aef1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:39.320526+00:00", + "ended_at": "2026-05-19T15:41:59.684406+00:00", + "elapsed_ms": 20363.85, + "prompt_metrics": { + "chars": 7980, + "bytes_utf8": 7980, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1873, + "bytes_utf8": 1873, + "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": 504, + "bytes_utf8": 504, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 358, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aba341941ffcb107ec8326e4a24ddd42fe3a0584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/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=Residence_type.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "work_type", + "group_col_2": "Residence_type", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 61.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_7236ca9401396042/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b54dd0700195436fe06570fe3bd6f5ca8e31e21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e6-5d8a-7193-9c65-60ab888abe04"} +{"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 15008. 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 15008. 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 1987657, Requested 15008. Please try again in 79ms. 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 \\\"work_type\\\", \\\"Residence_type\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE CAST(NULLIF(\\\"age\\\", '') AS REAL) >= 61.0\\nGROUP BY \\\"work_type\\\", \\\"Residence_type\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required filtered two-dimensional group count template with group_col=\\\"work_type\\\", group_col_2=\\\"Residence_type\\\", and predicate on \\\"age\\\" >= 61.0. CAST/NULLIF is applied because \\\"age\\\" is stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14373,"cached_input_tokens":13696,"output_tokens":358,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c48919f39864baf905f135c34a0da8c2e2bd8772 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"work_type\", \"Residence_type\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE CAST(NULLIF(\"age\", '') AS REAL) >= 61.0\nGROUP BY \"work_type\", \"Residence_type\"\nORDER BY row_count DESC;","notes":"Used the required filtered two-dimensional group count template with group_col=\"work_type\", group_col_2=\"Residence_type\", and predicate on \"age\" >= 61.0. CAST/NULLIF is applied because \"age\" 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_7236ca9401396042/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2ae25c66843855abb4c53495e6451d061474e16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "1", "avg_glucose_level": "74.9", "total_measure": 146.0, "share_within_group": 0.4709981289115427}, {"hypertension": "1", "avg_glucose_level": "205.23", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "60.98", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "91.85", "total_measure": 139.0, "share_within_group": 0.4484160268404413}, {"hypertension": "1", "avg_glucose_level": "90.77", "total_measure": 137.0, "share_within_group": 0.4419639976772695}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..61f15484a6100b8e2b2b8756050250936120a38d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/generated_sql.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: m7 +-- 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_m7_73d708cb0433fa22 +-- problem_id: v2p_m7_9b361325980fb305 +-- realization_mode: agent +-- source_kind: agent +SELECT + "hypertension", + "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +WHERE NULLIF("age", '') IS NOT NULL +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f4fb334e5d39f295e8591bdcebc54d43e1dd45c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share.\nSELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"avg_glucose_level\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"hypertension\": \"1\", \"avg_glucose_level\": \"74.9\", \"total_measure\": 146.0, \"share_within_group\": 0.4709981289115427}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"205.23\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"60.98\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"91.85\", \"total_measure\": 139.0, \"share_within_group\": 0.4484160268404413}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"90.77\", \"total_measure\": 137.0, \"share_within_group\": 0.4419639976772695}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"109.51\", \"total_measure\": 130.0, \"share_within_group\": 0.4193818956061681}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"78.68\", \"total_measure\": 129.0, \"share_within_group\": 0.41615588102458223}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.04\", \"total_measure\": 124.0, \"share_within_group\": 0.40002580811665267}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"97.06\", \"total_measure\": 121.0, \"share_within_group\": 0.39034776437189495}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"79.79\", \"total_measure\": 118.0, \"share_within_group\": 0.3806697206271372}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"101.56\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"107.21\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.71\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"196.92\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"215.94\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"222.52\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"227.28\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"61.47\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"62.46\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"71.97\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"73.19\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.32\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"84.03\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"117.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"126.34\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"164.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"174.54\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"181.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"216.07\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"217.94\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"220.64\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"231.19\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"250.89\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"58.71\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.11\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.28\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"74.02\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"80.43\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"103.6\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"114.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.52\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"125.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"175.29\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"178.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.96\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"213.33\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"218\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"232.12\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"240.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 37.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e39f3b27efff0625b061124b76292ce2f698f850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:34:36.698343+00:00", + "ended_at": "2026-05-19T15:35:00.607071+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_73d708cb0433fa22", + "problem_id": "v2p_m7_9b361325980fb305", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73d708cb0433fa22.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce01a59db9d7ddff869b560d657875b2a1de13ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:00.566519+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23864.87, "started_at": "2026-05-19T15:34:36.700008+00:00", "ended_at": "2026-05-19T15:35:00.564917+00:00", "prompt_metrics": {"chars": 8077, "bytes_utf8": 8077, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..212ec0cc63160640d8bfcd3ba5d9372a1c59c946 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73d708cb0433fa22/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_73eca76c5d055da2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef3e7db06382a13f237ebc8390b534e1c6bda34a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14393, "cached_input_tokens": 13696, "output_tokens": 682, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ac11ae21d979ade11e5f80c16c79468a01e59a6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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_73eca76c5d055da2", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 682, + "total_tokens": 15075, + "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": 13384.85, + "sql_execution_elapsed_ms_total": 5.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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_73eca76c5d055da2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c49437014d6dded8a41b4286deb4d1df0c4aba2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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": "2026-05-19T15:33:52.099188+00:00", + "ended_at": "2026-05-19T15:34:05.484074+00:00", + "elapsed_ms": 13384.85, + "prompt_metrics": { + "chars": 8050, + "bytes_utf8": 8050, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 971, + "bytes_utf8": 971, + "lines": 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": 14393, + "cached_input_tokens": 13696, + "output_tokens": 682, + "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_73eca76c5d055da2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e3465a3bf28b459e7a3910b604070a612d29ecb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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=gender, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "item_col": "age", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_73eca76c5d055da2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1116185ab23056bd5760e9a262f76c2d5df7d93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-3c79-7802-a83d-0b20bb8783f4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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;\",\"notes\":\"Applied the provided within-group share template with group_col=\\\"gender\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS NUMERIC) is used because the SQLite schema stores all fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14393,"cached_input_tokens":13696,"output_tokens":682,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f008071705fddd8756e2c947c8a735dff59c5ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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;","notes":"Applied the provided within-group share template with group_col=\"gender\", item_col=\"age\", and measure_col=\"id\". CAST(\"id\" AS NUMERIC) is used because the SQLite schema stores all 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_73eca76c5d055da2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/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_75942c79a8838eed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d087720255bff72a045d26fadefc0326839b00cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8070, "bytes_utf8": 8070, "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": 662, "bytes_utf8": 662, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 13696, "output_tokens": 663, "reasoning_output_tokens": 483}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb6195db36bdec78e923921cfc240eadf833abb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/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_75942c79a8838eed", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 663, + "total_tokens": 15060, + "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": 12641.93, + "sql_execution_elapsed_ms_total": 18.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/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_75942c79a8838eed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..afd2106d3c56010f24d71ac04fa9e681d7a0204b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/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": "2026-05-19T15:38:15.751212+00:00", + "ended_at": "2026-05-19T15:38:28.393173+00:00", + "elapsed_ms": 12641.93, + "prompt_metrics": { + "chars": 8070, + "bytes_utf8": 8070, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1046, + "bytes_utf8": 1046, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 662, + "bytes_utf8": 662, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 663, + "reasoning_output_tokens": 483 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_75942c79a8838eed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c6381a4a5c457c4c7e3c63b1cdab727cfa0e55d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/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=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": 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}, {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_75942c79a8838eed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..696e7e2bb013e67212e299e4e71d4d34d71afcef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-4238-7be2-a01b-d9566c28db1f"} +{"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(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\\\"\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"hypertension\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". \\\"age\\\" is cast from TEXT to REAL and empty strings are treated as NULL so SQLite can aggregate numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14397,"cached_input_tokens":13696,"output_tokens":663,"reasoning_output_tokens":483}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a570d1beb6df96ceac68a40d280a0ecaab3802f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/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(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\"\nGROUP BY \"hypertension\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;","notes":"Used the provided template with group_col=\"hypertension\", item_col=\"avg_glucose_level\", and measure_col=\"age\". \"age\" is cast from TEXT to REAL and empty strings are treated as NULL so SQLite can aggregate numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/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_76a2da6342fdd368/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0451a8874dae43e4a3fd68639b1e601332a8d6f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/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": 466, "bytes_utf8": 466, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 13696, "output_tokens": 553, "reasoning_output_tokens": 419}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..37f5b57aad6074dcf6eadd83777ac72d559c59f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/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_76a2da6342fdd368", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 553, + "total_tokens": 14883, + "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": 16880.93, + "sql_execution_elapsed_ms_total": 8.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/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_76a2da6342fdd368/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..819e8f2df9137be9d69057b4c598cfd710d9614f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/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": "2026-05-19T15:43:33.803697+00:00", + "ended_at": "2026-05-19T15:43:50.684678+00:00", + "elapsed_ms": 16880.93, + "prompt_metrics": { + "chars": 7820, + "bytes_utf8": 7820, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1162, + "bytes_utf8": 1162, + "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": 466, + "bytes_utf8": 466, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 553, + "reasoning_output_tokens": 419 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_76a2da6342fdd368/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..877672c900a0eefb07ecf320f7c32eea6e887d59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/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": 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 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_76a2da6342fdd368/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe68b7f2c62301f94248806879ae9a0d70156f97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-1cb3-7100-9c99-d0b6ee95d041"} +{"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":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS INTEGER) DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with NTILE(10) on \\\"m7\\\" and casts \\\"id\\\" to INTEGER so the tail bucket reflects numeric order rather than lexicographic TEXT order.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14330,"cached_input_tokens":13696,"output_tokens":553,"reasoning_output_tokens":419}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf1520aae5c5943f3e6d066a78c72647c98b7e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"id\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS INTEGER) DESC) AS tail_bucket\n FROM \"m7\"\n)\nSELECT \"id\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"id\" AS INTEGER) DESC;","notes":"Uses the Quantile Tail Slice template with NTILE(10) on \"m7\" and casts \"id\" to INTEGER so the tail bucket reflects numeric order rather than lexicographic TEXT order."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b8aa0f936a81e15968c62b5724f20ca182e245d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"id": "72940"}, {"id": "72918"}, {"id": "72915"}, {"id": "72914"}, {"id": "72911"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..40b68a20ac37d0c682acf8f8b80a72816d9658a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/generated_sql.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: m7 +-- 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_m7_7732d4812ba98e39 +-- problem_id: v2p_m7_47b8bda8404fa3d4 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "id", + NTILE(10) OVER (ORDER BY CAST("id" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "id" IS NOT NULL AND "id" <> '' +) +SELECT "id" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("id" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce765b9c1ad868b5cf3d33d348eb5ba5bf4e6783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"id\",\n 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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"id\"], \"rows\": [{\"id\": \"72940\"}, {\"id\": \"72918\"}, {\"id\": \"72915\"}, {\"id\": \"72914\"}, {\"id\": \"72911\"}, {\"id\": \"72882\"}, {\"id\": \"72867\"}, {\"id\": \"72861\"}, {\"id\": \"72836\"}, {\"id\": \"72824\"}, {\"id\": \"72823\"}, {\"id\": \"72819\"}, {\"id\": \"72818\"}, {\"id\": \"72792\"}, {\"id\": \"72784\"}, {\"id\": \"72779\"}, {\"id\": \"72776\"}, {\"id\": \"72725\"}, {\"id\": \"72715\"}, {\"id\": \"72703\"}, {\"id\": \"72701\"}, {\"id\": \"72696\"}, {\"id\": \"72642\"}, {\"id\": \"72594\"}, {\"id\": \"72562\"}, {\"id\": \"72547\"}, {\"id\": \"72525\"}, {\"id\": \"72514\"}, {\"id\": \"72512\"}, {\"id\": \"72497\"}, {\"id\": \"72491\"}, {\"id\": \"72474\"}, {\"id\": \"72451\"}, {\"id\": \"72450\"}, {\"id\": \"72435\"}, {\"id\": \"72414\"}, {\"id\": \"72398\"}, {\"id\": \"72393\"}, {\"id\": \"72386\"}, {\"id\": \"72369\"}, {\"id\": \"72366\"}, {\"id\": \"72361\"}, {\"id\": \"72354\"}, {\"id\": \"72348\"}, {\"id\": \"72340\"}, {\"id\": \"72337\"}, {\"id\": \"72311\"}, {\"id\": \"72310\"}, {\"id\": \"72289\"}, {\"id\": \"72284\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..78651e6be2e0696c992b072498a4f3269bf01228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:44:28.990512+00:00", + "ended_at": "2026-05-19T15:44:41.615716+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7732d4812ba98e39", + "problem_id": "v2p_m7_47b8bda8404fa3d4", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=64" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7732d4812ba98e39.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e7db5fb57fa122b165a45dc605a864974ce2bfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:41.606409+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12612.69, "started_at": "2026-05-19T15:44:28.992902+00:00", "ended_at": "2026-05-19T15:44:41.605632+00:00", "prompt_metrics": {"chars": 7820, "bytes_utf8": 7820, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fff20cd27fc9300db492d6edd514794bc9f1095c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7732d4812ba98e39/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_77486b3268980bbe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..831768b583c4ab4e9c6654e59ab5d450d1622df6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Residence_type. +Result preview: [{"Residence_type": "Urban", "row_count": 2596}, {"Residence_type": "Rural", "row_count": 2514}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4836491089b4dfa34b5332d59864783932af3321 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:32:03.760632+00:00", + "ended_at": "2026-05-19T15:32:17.486379+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_77486b3268980bbe", + "problem_id": "v2p_m7_180324888122430f", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Residence_type.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_77486b3268980bbe.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..40015c98ccd04d34b659c8b9b0d70ef6052e5cc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:17.483546+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13720.96, "started_at": "2026-05-19T15:32:03.761858+00:00", "ended_at": "2026-05-19T15:32:17.482842+00:00", "prompt_metrics": {"chars": 7579, "bytes_utf8": 7579, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ef6b865ba3e7fa1401983d923fa7ddbc3793af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:55:49.834353+00:00", + "ended_at": "2026-05-19T15:55:57.404771+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7b81de67e552b971", + "problem_id": "v2p_m7_16f6e0a81965529e", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e0644434f4c1c69023fbdf7ec9d6e9a66bf241a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7b81de67e552b971/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:53.169876+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3333.62, "started_at": "2026-05-19T15:55:49.835550+00:00", "ended_at": "2026-05-19T15:55:53.169189+00:00", "prompt_metrics": {"chars": 7833, "bytes_utf8": 7833, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-57cc-7500-9125-5a099f52a276\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:57.404679+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3233.36, "started_at": "2026-05-19T15:55:54.170600+00:00", "ended_at": "2026-05-19T15:55:57.403985+00:00", "prompt_metrics": {"chars": 7833, "bytes_utf8": 7833, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-68ce-7b60-948b-2989dbb939b2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4fbec8825d4e841fdd8e8c433cad90a7d806f77d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14280, "cached_input_tokens": 12032, "output_tokens": 360, "reasoning_output_tokens": 239}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2facc4696137d9dcfeaf076b1839b95ad5cff3eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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_7e90a580f56dd36c", + "api_calls": 0, + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 360, + "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": 9872.14, + "sql_execution_elapsed_ms_total": 2.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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_7e90a580f56dd36c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1fd7f852f4f4d2a6aa4503d78c54cd748152fa3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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": "2026-05-19T15:29:17.443335+00:00", + "ended_at": "2026-05-19T15:29:27.315506+00:00", + "elapsed_ms": 9872.14, + "prompt_metrics": { + "chars": 7655, + "bytes_utf8": 7655, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 798, + "bytes_utf8": 798, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 432, + "bytes_utf8": 432, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 360, + "reasoning_output_tokens": 239 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7e90a580f56dd36c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc4357c8b35650ff86af913057bb09a464981fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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": 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}, 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_7e90a580f56dd36c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6daba8adef5d38247fa2dcdaf76b02c036b5f777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-0b93-76d0-acf6-3d83624176d2"} +{"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 required grouped-sum template with group_col=\\\"ever_married\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, NULLIF plus CAST to REAL makes the aggregation SQLite-safe.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14280,"cached_input_tokens":12032,"output_tokens":360,"reasoning_output_tokens":239}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92928e8a050c28d6b46e791fe55e8694ef646705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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 required grouped-sum template with group_col=\"ever_married\" and measure_col=\"bmi\". Since \"bmi\" is stored as TEXT and may contain empty strings, NULLIF plus CAST to REAL makes 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_7e90a580f56dd36c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/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_7f04ae26676599ae/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a04f20e86e9af1f5b975568e8aeff965e4c55f92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7693, "bytes_utf8": 7693, "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": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14286, "cached_input_tokens": 12032, "output_tokens": 435, "reasoning_output_tokens": 315}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2eec961560282ca470859439ab8ac8ba4b4990ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/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_7f04ae26676599ae", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 14721, + "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": 15939.09, + "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_7f04ae26676599ae/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_7f04ae26676599ae/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8f0b63366a212e43bbd128fc5c92160bff54f086 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/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": "2026-05-19T15:30:53.609109+00:00", + "ended_at": "2026-05-19T15:31:09.548236+00:00", + "elapsed_ms": 15939.09, + "prompt_metrics": { + "chars": 7693, + "bytes_utf8": 7693, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1151, + "bytes_utf8": 1151, + "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": 456, + "bytes_utf8": 456, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 435, + "reasoning_output_tokens": 315 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7f04ae26676599ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d7d87e7c48b30382899e0a3de18f732152afe7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/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": 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}, 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_7f04ae26676599ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6506054d5566e756a8b194cbb85340538aac6de9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-8335-7c91-91f1-6d98e42ce2e5"} +{"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 14921. Please try again in 447ms. 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 \\\"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 planned grouped-sum template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". The measure is cast from TEXT to REAL and empty strings are treated as NULL for SQLite-safe numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14286,"cached_input_tokens":12032,"output_tokens":435,"reasoning_output_tokens":315}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fb9f91b9481e4c45e49d98d625e203c47f2f1ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/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 planned grouped-sum template with group_col=\"smoking_status\" and measure_col=\"avg_glucose_level\". The measure is cast from TEXT to REAL and empty strings are treated 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_7f04ae26676599ae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/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_7f5aef48015d8ab3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6185433024085930baa12d2f9c49776e7eb45191 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "group_value": 113035.36}, {"Residence_type": "Rural", "group_value": 107852.64}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e549f9106896bb7add21187b6c18b00ca99d1857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_7f5aef48015d8ab3 +-- problem_id: v2p_m7_31983739d2d5a3a4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS group_value + FROM "m7" + WHERE NULLIF("age", '') IS NOT NULL + AND NULLIF("Residence_type", '') IS NOT NULL + GROUP BY "Residence_type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Residence_type", 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/m7/artifacts/v2q_m7_7f5aef48015d8ab3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1f516b239368632eaa6a8a87842fd22209e0954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"Residence_type\", \"group_value\"], \"rows\": [{\"Residence_type\": \"Urban\", \"group_value\": 113035.36}, {\"Residence_type\": \"Rural\", \"group_value\": 107852.64}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d9cf8c487fd515a57fdf64cac181df1aa1537c5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:48:26.222154+00:00", + "ended_at": "2026-05-19T15:48:38.997527+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7f5aef48015d8ab3", + "problem_id": "v2p_m7_31983739d2d5a3a4", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Residence_type, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f5aef48015d8ab3.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..665dadab4f3e544987594635379b5214a652938d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:38.992750+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12767.74, "started_at": "2026-05-19T15:48:26.223363+00:00", "ended_at": "2026-05-19T15:48:38.991131+00:00", "prompt_metrics": {"chars": 8215, "bytes_utf8": 8215, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2cd65a7ef77da95c2cfeedb8ef3dbad04d0b2e1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f5aef48015d8ab3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_7ffb11e94207ec02/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb390e49bbd7e29711dfbcac32309032ed527a07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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": 631, "bytes_utf8": 631, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14411, "cached_input_tokens": 12032, "output_tokens": 848, "reasoning_output_tokens": 685}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..58f4673f3078dc682bd57f0e0c41fc30215adae8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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_7ffb11e94207ec02", + "api_calls": 0, + "input_tokens": 14411, + "cached_input_tokens": 12032, + "output_tokens": 848, + "total_tokens": 15259, + "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": 17336.24, + "sql_execution_elapsed_ms_total": 4.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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_7ffb11e94207ec02/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d6763ae716471d90c78b4c0254f184f68ffb7b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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": "2026-05-19T15:45:53.378820+00:00", + "ended_at": "2026-05-19T15:46:10.715092+00:00", + "elapsed_ms": 17336.24, + "prompt_metrics": { + "chars": 8199, + "bytes_utf8": 8199, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1002, + "bytes_utf8": 1002, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 631, + "bytes_utf8": 631, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14411, + "cached_input_tokens": 12032, + "output_tokens": 848, + "reasoning_output_tokens": 685 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7ffb11e94207ec02/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..34bbcf471c34f4ae78539e0634d4e6d382322694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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": 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": "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_7ffb11e94207ec02/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..73b62215de96343e5f4a8c7b579bc30bb26c785b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-3dff-7ca2-b341-b6f8f8fb5671"} +{"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 planned threshold template with group_col=\\\"gender\\\". COUNT(\\\"id\\\") is used for the count_distribution probe because \\\"id\\\" is an identifier-like field and summing it would not match the intended semantics.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14411,"cached_input_tokens":12032,"output_tokens":848,"reasoning_output_tokens":685}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b31e3058ece90e644f5ae17f7f27e0975d25077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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 planned threshold template with group_col=\"gender\". COUNT(\"id\") is used for the count_distribution probe because \"id\" is an identifier-like field and summing it would not match the intended semantics."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbd85dbd222a79d1a9a0075bf50db9af32e6b8ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "0", "group_value": 189890.0}, {"hypertension": "1", "group_value": 30998.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..44a83ab95d7ebeeec5e002d084b4340a3d55b07c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/generated_sql.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: m7 +-- 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_m7_81c2f1cf295e25ee +-- problem_id: v2p_m7_c38b3b52958155e5 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "hypertension", SUM(CAST(NULLIF("age", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "hypertension" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."hypertension", 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/m7/artifacts/v2q_m7_81c2f1cf295e25ee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..431910e424ae422bcc793b52e23ff5400dc86ef4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"group_value\"], \"rows\": [{\"hypertension\": \"0\", \"group_value\": 189890.0}, {\"hypertension\": \"1\", \"group_value\": 30998.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6d41145767946f87c86f0f652d9ea7d245aa51ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:46:42.256050+00:00", + "ended_at": "2026-05-19T15:46:59.354468+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_81c2f1cf295e25ee", + "problem_id": "v2p_m7_c38b3b52958155e5", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_81c2f1cf295e25ee.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95bd26555ef7ca6caacb699f1267ca491a9238aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:59.350702+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17091.56, "started_at": "2026-05-19T15:46:42.258313+00:00", "ended_at": "2026-05-19T15:46:59.349918+00:00", "prompt_metrics": {"chars": 8212, "bytes_utf8": 8212, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ec9c1474abb57906c70952dc16d9a8f412cdd9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_81c2f1cf295e25ee/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_844b89dbeabe8f54/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..98554bc98ef9ed79c8246bd3611f8d22771059a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"empirical_cdf_at_threshold": 0.7596868884540118}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e0fba5c0400267210982dc719b326597c06db573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/generated_sql.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: m7 +-- 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_m7_844b89dbeabe8f54 +-- problem_id: v2p_m7_30b2fd7dac23b3a5 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("age" AS REAL) <= 61.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa5454d0b615a34f7f26bef0fff5e78dd6661bdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"age\" AS REAL) <= 61.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7596868884540118}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..91b35eaa65a7ac6ed596e23527253d10945fd81a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:03:13.342029+00:00", + "ended_at": "2026-05-19T16:03:25.377811+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_844b89dbeabe8f54", + "problem_id": "v2p_m7_30b2fd7dac23b3a5", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=113" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_844b89dbeabe8f54.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f250d442fb144afd260a03e2a71ad650afb70ba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:16.413728+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3070.01, "started_at": "2026-05-19T16:03:13.342979+00:00", "ended_at": "2026-05-19T16:03:16.413032+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-1c4c-79e2-b5fc-c70299776050\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:25.375305+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7959.2, "started_at": "2026-05-19T16:03:17.415235+00:00", "ended_at": "2026-05-19T16:03:25.374482+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92d7760718e3b48d9e68bafc10e199716f58272f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_844b89dbeabe8f54/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_8b3069f2b032cf0b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7435a9f02346f8468faa4106e7f3a73ac87d79f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:58.259681+00:00", + "ended_at": "2026-05-19T16:05:01.756339+00:00", + "elapsed_ms": 3496.63, + "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_8b3069f2b032cf0b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba4b71e32b277a2863c97a68881ffe930d684739 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:02.758206+00:00", + "ended_at": "2026-05-19T16:05:08.223506+00:00", + "elapsed_ms": 5465.26, + "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_8b3069f2b032cf0b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..451d5d5048efa0988bc5e4a819f9d31f3f0d78be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/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=heart_disease.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "heart_disease", + "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\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_8b3069f2b032cf0b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..451d5d5048efa0988bc5e4a819f9d31f3f0d78be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/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=heart_disease.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "heart_disease", + "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\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_8b3069f2b032cf0b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e202695e28007822f797e757d8b846b46c2e5cc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b625-7eb2-823f-8ca9fbc6a65b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_8b3069f2b032cf0b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21806aa9ee55bdad4f901779bcd0b15390176dfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b625-7eb2-823f-8ca9fbc6a65b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_8b3069f2b032cf0b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ed40d4ccbf4283c4c4f5dfde2e4473217ec9b89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c7c2-7883-86e7-a040973b5ece"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_8b3069f2b032cf0b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfa7c95f93d62734d2d465fd4cb3a66927748406 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c7c2-7883-86e7-a040973b5ece"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_8b3069f2b032cf0b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/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_8b3069f2b032cf0b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/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_8f6592ace9a49fb8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f22af398e3c1d3d1855f8223a73e91fc5480534b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:25.384491+00:00", + "ended_at": "2026-05-19T16:06:28.564952+00:00", + "elapsed_ms": 3180.44, + "returncode": 1, + "prompt_metrics": { + "chars": 7643, + "bytes_utf8": 7643, + "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_8f6592ace9a49fb8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1282feeb7a948794051cc1e7025e4a249cc808b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:29.567235+00:00", + "ended_at": "2026-05-19T16:06:32.963962+00:00", + "elapsed_ms": 3396.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7643, + "bytes_utf8": 7643, + "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_8f6592ace9a49fb8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0300bb43334437d2944a5db7934260198fa33c6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/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=stroke.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "stroke", + "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\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_8f6592ace9a49fb8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0300bb43334437d2944a5db7934260198fa33c6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/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=stroke.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "stroke", + "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\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_8f6592ace9a49fb8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c46637889f78b9617a8436fd9f229a3d589044a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0a60-7fa1-a7d8-ad93a7ba6eef"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_8f6592ace9a49fb8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7ca4a0a5887cd7882a004decf8a9efd4577024e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0a60-7fa1-a7d8-ad93a7ba6eef"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_8f6592ace9a49fb8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c848cb8d2bce665f6830afd4db129067cb42ae2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-1ae7-7583-9a6a-94f811c3fb53"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_8f6592ace9a49fb8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9e3d2a6527246a57adc9654636480f0d5c9db9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-1ae7-7583-9a6a-94f811c3fb53"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_8f6592ace9a49fb8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/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_8f6592ace9a49fb8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/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_9181d7c509074735/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b984f1d814f83555245355ca1e0ee6f998df0077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7971, "bytes_utf8": 7971, "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": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14370, "cached_input_tokens": 13696, "output_tokens": 352, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e0b997c0467893bf0b6211b4b0804abcc98a46e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/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_9181d7c509074735", + "api_calls": 0, + "input_tokens": 14370, + "cached_input_tokens": 13696, + "output_tokens": 352, + "total_tokens": 14722, + "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": 20739.67, + "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_9181d7c509074735/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_9181d7c509074735/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..583a03b96a315e88bbaf15dbdecee3ac658d6640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:18.573377+00:00", + "ended_at": "2026-05-19T15:41:39.313094+00:00", + "elapsed_ms": 20739.67, + "prompt_metrics": { + "chars": 7971, + "bytes_utf8": 7971, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 773, + "bytes_utf8": 773, + "lines": 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": 14370, + "cached_input_tokens": 13696, + "output_tokens": 352, + "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_9181d7c509074735/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..754afde1e3b1174fae999560f0ed1f2107a97214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/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=ever_married, group_col_2=stroke.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "ever_married", + "group_col_2": "stroke", + "predicate_col": "gender", + "predicate_op": "=", + "predicate_value": "Male", + "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}, {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_9181d7c509074735/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5894090f5cb0c244b4f69b8036c9d71803cc2a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-0c89-75b1-932a-862398b9a588"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ever_married\\\", \\\"stroke\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE \\\"gender\\\" = 'Male'\\nGROUP BY \\\"ever_married\\\", \\\"stroke\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template on table \\\"m7\\\", grouping by \\\"ever_married\\\" and \\\"stroke\\\" for rows where \\\"gender\\\" = 'Male'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14370,"cached_input_tokens":13696,"output_tokens":352,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55a8973ac2ec3e8497dc55776db3f6d6bd7f0a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"ever_married\", \"stroke\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nWHERE \"gender\" = 'Male'\nGROUP BY \"ever_married\", \"stroke\"\nORDER BY \"row_count\" DESC;","notes":"Applied the filtered two-dimensional group count template on table \"m7\", grouping by \"ever_married\" and \"stroke\" for rows where \"gender\" = 'Male'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/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_924b721995c76fbf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..026d7b8465ab7ab25b2e7a6a123e1428dceba7eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8043, "bytes_utf8": 8043, "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": 14393, "cached_input_tokens": 13696, "output_tokens": 493, "reasoning_output_tokens": 299}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cd36662a5ce1211a75ffb315c8a36413a3a57190 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/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_924b721995c76fbf", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 493, + "total_tokens": 14886, + "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": 11667.9, + "sql_execution_elapsed_ms_total": 40.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/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_924b721995c76fbf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1eb525b69c8e610dae473b9d341dc30583b6d203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/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": "2026-05-19T15:37:25.752328+00:00", + "ended_at": "2026-05-19T15:37:37.420265+00:00", + "elapsed_ms": 11667.9, + "prompt_metrics": { + "chars": 8043, + "bytes_utf8": 8043, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1073, + "bytes_utf8": 1073, + "lines": 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": 14393, + "cached_input_tokens": 13696, + "output_tokens": 493, + "reasoning_output_tokens": 299 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_924b721995c76fbf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2180301aec99e1062af7684ca276b7da3eb6d07d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/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=stroke, measure_col=bmi.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "item_col": "id", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_924b721995c76fbf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7f03eaf07185c2ed9857c6952dfdbb44bc32f2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-7f01-7fa2-8bd6-d2301dfb1df6"} +{"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\":\"Uses the required template bindings with group_col=\\\"stroke\\\", item_col=\\\"id\\\", and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may be blank, NULLIF plus CAST(... AS REAL) makes the aggregation SQLite-compatible and ignores missing BMI values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14393,"cached_input_tokens":13696,"output_tokens":493,"reasoning_output_tokens":299}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb6ebcfd43c0d72320bd175179ca8201edc22af8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/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":"Uses the required template bindings with group_col=\"stroke\", item_col=\"id\", and measure_col=\"bmi\". Since \"bmi\" is stored as TEXT and may be blank, NULLIF plus CAST(... AS REAL) makes the aggregation SQLite-compatible and ignores missing BMI values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/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_93b2e2feb2f9a7d6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9de1a80d77592d67a2da70c7540919a83d58e610 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Private", "support": 2925, "support_share": 0.5724070450097848, "cumulative_support": 2925}, {"value_label": "Self-employed", "support": 819, "support_share": 0.16027397260273973, "cumulative_support": 3744}, {"value_label": "children", "support": 687, "support_share": 0.1344422700587084, "cumulative_support": 4431}, {"value_label": "Govt_job", "support": 657, "support_share": 0.12857142857142856, "cumulative_support": 5088}, {"value_label": "Never_worked", "support": 22, "support_share": 0.004305283757338552, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c217714f2e49a97fa0b3c3cbbee7b945ee6bbcf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_93b2e2feb2f9a7d6 +-- problem_id: v2p_m7_f7b79fae09eb3a0d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "work_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "work_type" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c5f759e6985dfef2c5a89112769cb4bd731c45f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_93b2e2feb2f9a7d6\n-- problem_id: v2p_m7_f7b79fae09eb3a0d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"work_type\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"work_type\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_93b2e2feb2f9a7d6\\n-- problem_id: v2p_m7_f7b79fae09eb3a0d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"work_type\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Private\", \"support\": 2925, \"support_share\": 0.5724070450097848, \"cumulative_support\": 2925}, {\"value_label\": \"Self-employed\", \"support\": 819, \"support_share\": 0.16027397260273973, \"cumulative_support\": 3744}, {\"value_label\": \"children\", \"support\": 687, \"support_share\": 0.1344422700587084, \"cumulative_support\": 4431}, {\"value_label\": \"Govt_job\", \"support\": 657, \"support_share\": 0.12857142857142856, \"cumulative_support\": 5088}, {\"value_label\": \"Never_worked\", \"support\": 22, \"support_share\": 0.004305283757338552, \"cumulative_support\": 5110}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2e25c863e2a4368b6b3701c2e9c5c15a996a282f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.870229+00:00", + "ended_at": "2026-05-19T16:09:16.872706+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_93b2e2feb2f9a7d6", + "problem_id": "v2p_m7_f7b79fae09eb3a0d", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=work_type.", + "bindings": { + "group_col": "work_type" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_93b2e2feb2f9a7d6.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_93b2e2feb2f9a7d6/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aa469776e0512210b8fe6529dbf62fd7b0fd1344 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:01:12.923520+00:00", + "ended_at": "2026-05-19T16:01:20.932642+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_94578e273c052ee5", + "problem_id": "v2p_m7_365c495da40af911", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoking_status, condition_col=smoking_status.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c956c6a05aeafc4dfedb8b28c1df4ead23e298bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_94578e273c052ee5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:17.066344+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4140.7, "started_at": "2026-05-19T16:01:12.924945+00:00", "ended_at": "2026-05-19T16:01:17.065671+00:00", "prompt_metrics": {"chars": 7954, "bytes_utf8": 7954, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-45d7-7011-ad46-8c86c4d7791b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:01:20.932555+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2864.59, "started_at": "2026-05-19T16:01:18.067251+00:00", "ended_at": "2026-05-19T16:01:20.931868+00:00", "prompt_metrics": {"chars": 7954, "bytes_utf8": 7954, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-5a1a-7670-adf4-83d47e6d9fbf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..575ef4ab4568ed700cc6babc0eeac2329e518b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7911, "bytes_utf8": 7911, "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": 7911, "bytes_utf8": 7911, "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": 487, "bytes_utf8": 487, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14337, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 265}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3aca9315cfd90287f0a25577157d7e79f927bb68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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_958125921e16eb7f", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 14739, + "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": 12889.75, + "sql_execution_elapsed_ms_total": 2.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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_958125921e16eb7f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..00b4ea990b620b60ea78c4c008ce4f1291e5d6cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:12.038273+00:00", + "ended_at": "2026-05-19T15:59:15.482896+00:00", + "elapsed_ms": 3444.6, + "returncode": 1, + "prompt_metrics": { + "chars": 7911, + "bytes_utf8": 7911, + "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_958125921e16eb7f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b68ba2c5fa10aba2380727b2231172fc198a6d04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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": "2026-05-19T15:59:16.485353+00:00", + "ended_at": "2026-05-19T15:59:25.930541+00:00", + "elapsed_ms": 9445.15, + "prompt_metrics": { + "chars": 7911, + "bytes_utf8": 7911, + "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": 487, + "bytes_utf8": 487, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 402, + "reasoning_output_tokens": 265 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_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_958125921e16eb7f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..45ab333bc1a80f0d819bc755a62aba84d7dee0bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Male", + "positive_value": "Female", + "negative_value": "Male", + "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": 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_958125921e16eb7f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..45ab333bc1a80f0d819bc755a62aba84d7dee0bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Male", + "positive_value": "Female", + "negative_value": "Male", + "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": 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_958125921e16eb7f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..640e2a28f643b252ad9a248903c14e11c80dba55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-6dc3-78f0-b9ce-aa0d1d1947d8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_958125921e16eb7f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..491cd0a541f163665e8c1f65771d65fab4f6866a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-6dc3-78f0-b9ce-aa0d1d1947d8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_958125921e16eb7f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b3d770c1ca758383ad35c419287dccdd097ae09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-7f0a-7ef1-98e2-758d2bd11012"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col=\\\"gender\\\" and condition_col=\\\"gender\\\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for the Male group and 0.0 for non-Male gender groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14337,"cached_input_tokens":12032,"output_tokens":402,"reasoning_output_tokens":265}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0509d2222787d559bdcc50dbbab4d56937f51b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"gender\",\n AVG(CASE WHEN \"gender\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the required Grouped Condition Rate template with group_col=\"gender\" and condition_col=\"gender\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for the Male group and 0.0 for non-Male gender groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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_958125921e16eb7f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4684e6a128b583e7a53362b4e977342b5c9709d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Private", "total_measure": 108082339}, {"work_type": "Self-employed", "total_measure": 29116505}, {"work_type": "children", "total_measure": 24573600}, {"work_type": "Govt_job", "total_measure": 23991627}, {"work_type": "Never_worked", "total_measure": 842037}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf98e9f47296411241e87f475051e82e5c5d203f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/generated_sql.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: m7 +-- 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_m7_960643dc7c813b1c +-- problem_id: v2p_m7_5f3ac3d2663c9a52 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", SUM(CAST(NULLIF("id", '') AS NUMERIC)) AS total_measure +FROM "m7" +GROUP BY "work_type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..339cb14d43e8c2b9bd6874fce47bb260b3269867 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"work_type\", SUM(CAST(NULLIF(\"id\", '') AS NUMERIC)) AS total_measure\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"total_measure\"], \"rows\": [{\"work_type\": \"Private\", \"total_measure\": 108082339}, {\"work_type\": \"Self-employed\", \"total_measure\": 29116505}, {\"work_type\": \"children\", \"total_measure\": 24573600}, {\"work_type\": \"Govt_job\", \"total_measure\": 23991627}, {\"work_type\": \"Never_worked\", \"total_measure\": 842037}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27ce6314ee5bca407ffdb10a933dc6d4be38ef26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:29:38.107724+00:00", + "ended_at": "2026-05-19T15:29:46.158594+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_960643dc7c813b1c", + "problem_id": "v2p_m7_5f3ac3d2663c9a52", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_960643dc7c813b1c.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d12c6ab0471bdf55a9361db497b811af39b46e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:46.154714+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8043.56, "started_at": "2026-05-19T15:29:38.109768+00:00", "ended_at": "2026-05-19T15:29:46.153366+00:00", "prompt_metrics": {"chars": 7651, "bytes_utf8": 7651, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b65ae2e37b87369903a5ec7247686619a8863e8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_960643dc7c813b1c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_97f43592de64afc7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8068049aedb35ae73cb8cadacb44a4ed7b4a2903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7984, "bytes_utf8": 7984, "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": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14372, "cached_input_tokens": 13696, "output_tokens": 275, "reasoning_output_tokens": 165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..06d9a7d1d3f7351428425f9f294b8ae18b6aea08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/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_97f43592de64afc7", + "api_calls": 0, + "input_tokens": 14372, + "cached_input_tokens": 13696, + "output_tokens": 275, + "total_tokens": 14647, + "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": 7876.54, + "sql_execution_elapsed_ms_total": 2.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/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_97f43592de64afc7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cdc34372a60e5fa86173f1fde70b5b022db7c20c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/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": "2026-05-19T15:43:14.825772+00:00", + "ended_at": "2026-05-19T15:43:22.702361+00:00", + "elapsed_ms": 7876.54, + "prompt_metrics": { + "chars": 7984, + "bytes_utf8": 7984, + "lines": 244, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 769, + "bytes_utf8": 769, + "lines": 4, + "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": 14372, + "cached_input_tokens": 13696, + "output_tokens": 275, + "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_97f43592de64afc7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f08e0e39213633a20675bc37092a34a75262d1d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/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=smoking_status, group_col_2=stroke.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "smoking_status", + "group_col_2": "stroke", + "predicate_col": "Residence_type", + "predicate_op": "=", + "predicate_value": "Rural", + "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 {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_97f43592de64afc7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31e525dbe649dd747af4f410d6065907290dbf18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-d295-7550-82cc-9128c0dcebe9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"smoking_status\\\", \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"Residence_type\\\" = 'Rural'\\nGROUP BY \\\"smoking_status\\\", \\\"stroke\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group_col=\\\"smoking_status\\\", group_col_2=\\\"stroke\\\", and predicate Residence_type = 'Rural'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14372,"cached_input_tokens":13696,"output_tokens":275,"reasoning_output_tokens":165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d67e66437a43439d9bc5a62a0ccc429cd45dfb9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"smoking_status\", \"stroke\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"Residence_type\" = 'Rural'\nGROUP BY \"smoking_status\", \"stroke\"\nORDER BY row_count DESC;","notes":"Uses the planned filtered two-dimensional group count template with group_col=\"smoking_status\", group_col_2=\"stroke\", and predicate Residence_type = 'Rural'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b1c3f267758522e381ffc1b012697869ab48d28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "group_value": 2994}, {"gender": "Male", "group_value": 2115}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b8026b7aa5701278112ff221ad228d8d827ba5bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/generated_sql.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: m7 +-- 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_m7_9898c8838ce70fc6 +-- problem_id: v2p_m7_a9a30c565fca20a6 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", COUNT("id") AS group_value + FROM "m7" + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", 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/m7/artifacts/v2q_m7_9898c8838ce70fc6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..886ec3184235e8f02014fcddf76a38bc3159fba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"group_value\"], \"rows\": [{\"gender\": \"Female\", \"group_value\": 2994}, {\"gender\": \"Male\", \"group_value\": 2115}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0a99e1d4679a366e6d580c91df47b6f81ca8ab7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:49:41.642375+00:00", + "ended_at": "2026-05-19T15:49:54.157375+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9898c8838ce70fc6", + "problem_id": "v2p_m7_a9a30c565fca20a6", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9898c8838ce70fc6.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ffcdbf4481ef44d3738fe70629be7b5bfc2d5d62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:54.153723+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12509.21, "started_at": "2026-05-19T15:49:41.643709+00:00", "ended_at": "2026-05-19T15:49:54.152941+00:00", "prompt_metrics": {"chars": 8199, "bytes_utf8": 8199, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bfe60b9e326944dcbc31a6f811790b1c1c189859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9898c8838ce70fc6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_9ec0ca55dc6e0349/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f200446838ef5f64c9f4c5ff4a8343e423c70c98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:50.882779+00:00", + "ended_at": "2026-05-19T16:08:58.126751+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9ec0ca55dc6e0349", + "problem_id": "v2p_m7_62d243391374f1f6", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ever_married, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71a3c680abae2d45c265119aadde239e57bda469 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ec0ca55dc6e0349/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:53.832655+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2947.83, "started_at": "2026-05-19T16:08:50.884083+00:00", "ended_at": "2026-05-19T16:08:53.831940+00:00", "prompt_metrics": {"chars": 7742, "bytes_utf8": 7742, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-42c3-7bf1-b389-205003da82d2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:58.126654+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3292.38, "started_at": "2026-05-19T16:08:54.833462+00:00", "ended_at": "2026-05-19T16:08:58.125875+00:00", "prompt_metrics": {"chars": 7742, "bytes_utf8": 7742, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-5247-7c73-8c09-9e5eeff44e26\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b8aa0f936a81e15968c62b5724f20ca182e245d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"id": "72940"}, {"id": "72918"}, {"id": "72915"}, {"id": "72914"}, {"id": "72911"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ebc80e3ac6fcbdbf8178a14d92cbf472d8a12da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/generated_sql.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: m7 +-- 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_m7_9ef0dcf1d41d86d9 +-- problem_id: v2p_m7_a495ffc428fe3316 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "id", + NTILE(10) OVER (ORDER BY CAST("id" AS REAL) DESC) AS "tail_bucket" + FROM "m7" +) +SELECT "id" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("id" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..47c95d44591e7c5afe85dc64e80455c89bedefe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"id\",\n 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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"id\"], \"rows\": [{\"id\": \"72940\"}, {\"id\": \"72918\"}, {\"id\": \"72915\"}, {\"id\": \"72914\"}, {\"id\": \"72911\"}, {\"id\": \"72882\"}, {\"id\": \"72867\"}, {\"id\": \"72861\"}, {\"id\": \"72836\"}, {\"id\": \"72824\"}, {\"id\": \"72823\"}, {\"id\": \"72819\"}, {\"id\": \"72818\"}, {\"id\": \"72792\"}, {\"id\": \"72784\"}, {\"id\": \"72779\"}, {\"id\": \"72776\"}, {\"id\": \"72725\"}, {\"id\": \"72715\"}, {\"id\": \"72703\"}, {\"id\": \"72701\"}, {\"id\": \"72696\"}, {\"id\": \"72642\"}, {\"id\": \"72594\"}, {\"id\": \"72562\"}, {\"id\": \"72547\"}, {\"id\": \"72525\"}, {\"id\": \"72514\"}, {\"id\": \"72512\"}, {\"id\": \"72497\"}, {\"id\": \"72491\"}, {\"id\": \"72474\"}, {\"id\": \"72451\"}, {\"id\": \"72450\"}, {\"id\": \"72435\"}, {\"id\": \"72414\"}, {\"id\": \"72398\"}, {\"id\": \"72393\"}, {\"id\": \"72386\"}, {\"id\": \"72369\"}, {\"id\": \"72366\"}, {\"id\": \"72361\"}, {\"id\": \"72354\"}, {\"id\": \"72348\"}, {\"id\": \"72340\"}, {\"id\": \"72337\"}, {\"id\": \"72311\"}, {\"id\": \"72310\"}, {\"id\": \"72289\"}, {\"id\": \"72284\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..813735846f3c9203162b32ac0e71f14161ba0b0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:45:32.099751+00:00", + "ended_at": "2026-05-19T15:45:53.377158+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9ef0dcf1d41d86d9", + "problem_id": "v2p_m7_a495ffc428fe3316", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=68" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ef0dcf1d41d86d9.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19a4c11396dfb22c11415894deb01012661d645d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:53.359352+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21256.98, "started_at": "2026-05-19T15:45:32.100681+00:00", "ended_at": "2026-05-19T15:45:53.357696+00:00", "prompt_metrics": {"chars": 7820, "bytes_utf8": 7820, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f568828c42026c246979c647cbeba702f8e0bcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ef0dcf1d41d86d9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_a207cc0edf9f71c3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..340ed1da5e9f734095c18256ecd298fb5e422e68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7648, "bytes_utf8": 7648, "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": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14287, "cached_input_tokens": 12032, "output_tokens": 179, "reasoning_output_tokens": 86}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4d24f26af36828d00758f011d1431cbbe6528ff1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/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_a207cc0edf9f71c3", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 179, + "total_tokens": 14466, + "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": 6765.82, + "sql_execution_elapsed_ms_total": 4.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/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_a207cc0edf9f71c3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ffcd2d015b47e291b6bca84bf19deae7261cb51d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/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": "2026-05-19T16:04:34.419684+00:00", + "ended_at": "2026-05-19T16:04:41.185542+00:00", + "elapsed_ms": 6765.82, + "prompt_metrics": { + "chars": 7648, + "bytes_utf8": 7648, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 711, + "bytes_utf8": 711, + "lines": 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": 14287, + "cached_input_tokens": 12032, + "output_tokens": 179, + "reasoning_output_tokens": 86 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_a207cc0edf9f71c3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b731ad55701c41c9fade8ae479f65faec972413c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/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=gender.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "gender", + "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": 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_a207cc0edf9f71c3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..333feb66aab5890a4783561e350aef59e95b1ef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-58fa-7df2-a763-ea87c681618b"} +{"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 15;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"gender\\\", counting rows per gender and returning the lowest-support groups first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14287,"cached_input_tokens":12032,"output_tokens":179,"reasoning_output_tokens":86}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5e191c78446d637794171bd0a63a1771ee0f73d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_response_attempt_1.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 15;","notes":"Uses the provided Low-Support Group Count template with group_col bound to \"gender\", counting rows per gender and returning the lowest-support groups first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/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_aad44fa6f97a6b05/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b1243c7e23db62e74e70aa61479e0e1d2ec81fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bmi": "", "support": 201, "avg_response": 126.72462686567165}, {"bmi": "28.7", "support": 41, "avg_response": 102.32463414634147}, {"bmi": "28.4", "support": 38, "avg_response": 104.1042105263158}, {"bmi": "26.1", "support": 37, "avg_response": 113.34783783783783}, {"bmi": "26.7", "support": 37, "avg_response": 105.3254054054054}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..065b58024bbff359df404bb76bcb14b048413f61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/generated_sql.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: m7 +-- 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_m7_aad44fa6f97a6b05 +-- problem_id: v2p_m7_d5c015c4fb295492 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("avg_glucose_level") AS avg_response +FROM "m7" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..569631fc162ef1388d1a95320a9161f78f20c24a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_aad44fa6f97a6b05\n-- problem_id: v2p_m7_d5c015c4fb295492\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bmi\",\n COUNT(*) AS support,\n AVG(\"avg_glucose_level\") AS avg_response\nFROM \"m7\"\nGROUP BY \"bmi\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_aad44fa6f97a6b05\\n-- problem_id: v2p_m7_d5c015c4fb295492\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bmi\\\",\\n COUNT(*) AS support,\\n AVG(\\\"avg_glucose_level\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"bmi\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"bmi\", \"support\", \"avg_response\"], \"rows\": [{\"bmi\": \"\", \"support\": 201, \"avg_response\": 126.72462686567165}, {\"bmi\": \"28.7\", \"support\": 41, \"avg_response\": 102.32463414634147}, {\"bmi\": \"28.4\", \"support\": 38, \"avg_response\": 104.1042105263158}, {\"bmi\": \"26.1\", \"support\": 37, \"avg_response\": 113.34783783783783}, {\"bmi\": \"26.7\", \"support\": 37, \"avg_response\": 105.3254054054054}, {\"bmi\": \"27.7\", \"support\": 37, \"avg_response\": 102.02810810810811}, {\"bmi\": \"27.6\", \"support\": 37, \"avg_response\": 97.30054054054054}, {\"bmi\": \"23.4\", \"support\": 36, \"avg_response\": 103.28305555555556}, {\"bmi\": \"27.3\", \"support\": 36, \"avg_response\": 99.77222222222223}, {\"bmi\": \"27\", \"support\": 35, \"avg_response\": 111.79885714285714}, {\"bmi\": \"26.4\", \"support\": 34, \"avg_response\": 106.05558823529411}, {\"bmi\": \"26.9\", \"support\": 34, \"avg_response\": 99.59058823529412}, {\"bmi\": \"25.1\", \"support\": 34, \"avg_response\": 92.14235294117647}, {\"bmi\": \"25.5\", \"support\": 33, \"avg_response\": 115.91575757575757}, {\"bmi\": \"23.5\", \"support\": 31, \"avg_response\": 103.09387096774194}, {\"bmi\": \"28.9\", \"support\": 31, \"avg_response\": 95.01645161290324}, {\"bmi\": \"24.8\", \"support\": 31, \"avg_response\": 84.50870967741936}, {\"bmi\": \"30.3\", \"support\": 30, \"avg_response\": 109.82433333333333}, {\"bmi\": \"31.4\", \"support\": 30, \"avg_response\": 109.46666666666667}, {\"bmi\": \"29.4\", \"support\": 30, \"avg_response\": 108.212}, {\"bmi\": \"28.3\", \"support\": 30, \"avg_response\": 99.34833333333333}, {\"bmi\": \"22.2\", \"support\": 30, \"avg_response\": 95.87733333333334}, {\"bmi\": \"26.5\", \"support\": 30, \"avg_response\": 94.60733333333333}, {\"bmi\": \"29.1\", \"support\": 29, \"avg_response\": 117.85965517241378}, {\"bmi\": \"26.6\", \"support\": 29, \"avg_response\": 107.92241379310344}, {\"bmi\": \"27.5\", \"support\": 29, \"avg_response\": 103.08206896551725}, {\"bmi\": \"28.1\", \"support\": 29, \"avg_response\": 100.99241379310344}, {\"bmi\": \"24.2\", \"support\": 29, \"avg_response\": 94.21586206896552}, {\"bmi\": \"32.3\", \"support\": 28, \"avg_response\": 120.05964285714286}, {\"bmi\": \"27.9\", \"support\": 28, \"avg_response\": 116.40642857142858}, {\"bmi\": \"25.3\", \"support\": 28, \"avg_response\": 106.77392857142857}, {\"bmi\": \"28\", \"support\": 28, \"avg_response\": 104.22321428571429}, {\"bmi\": \"24.1\", \"support\": 28, \"avg_response\": 102.92607142857142}, {\"bmi\": \"24\", \"support\": 28, \"avg_response\": 102.08857142857143}, {\"bmi\": \"27.1\", \"support\": 28, \"avg_response\": 100.77821428571428}, {\"bmi\": \"24.9\", \"support\": 27, \"avg_response\": 120.56592592592591}, {\"bmi\": \"28.5\", \"support\": 27, \"avg_response\": 105.95555555555556}, {\"bmi\": \"30\", \"support\": 27, \"avg_response\": 104.35703703703703}, {\"bmi\": \"28.6\", \"support\": 27, \"avg_response\": 104.09037037037037}, {\"bmi\": \"30.9\", \"support\": 27, \"avg_response\": 103.58777777777777}, {\"bmi\": \"31.5\", \"support\": 27, \"avg_response\": 101.6848148148148}, {\"bmi\": \"23\", \"support\": 27, \"avg_response\": 100.6637037037037}, {\"bmi\": \"29.7\", \"support\": 27, \"avg_response\": 100.54333333333334}, {\"bmi\": \"25\", \"support\": 27, \"avg_response\": 92.9862962962963}, {\"bmi\": \"21.5\", \"support\": 27, \"avg_response\": 91.91074074074075}, {\"bmi\": \"26.2\", \"support\": 27, \"avg_response\": 90.78333333333333}, {\"bmi\": \"30.1\", \"support\": 26, \"avg_response\": 114.80423076923077}, {\"bmi\": \"24.3\", \"support\": 26, \"avg_response\": 112.61384615384615}, {\"bmi\": \"28.8\", \"support\": 26, \"avg_response\": 112.03423076923076}, {\"bmi\": \"29\", \"support\": 26, \"avg_response\": 110.70615384615385}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab606ac1ce948481cc5b7873753d76a814cc1808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.947870+00:00", + "ended_at": "2026-05-19T16:09:16.951586+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_aad44fa6f97a6b05", + "problem_id": "v2p_m7_d5c015c4fb295492", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=avg_glucose_level, key_col=bmi.", + "bindings": { + "key_col": "bmi", + "measure_col": "avg_glucose_level", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_aad44fa6f97a6b05.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_aad44fa6f97a6b05/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f07899dd41e4942adf4e097a3c29751f5dbf2e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "78", "support": 102, "avg_response": 119.66421568627452}, {"age": "57", "support": 95, "avg_response": 113.88715789473684}, {"age": "52", "support": 90, "avg_response": 113.71577777777777}, {"age": "54", "support": 87, "avg_response": 117.45965517241379}, {"age": "51", "support": 86, "avg_response": 114.9863953488372}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9feafee7c768aeeacc68b08880b42341e6f8cc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/generated_sql.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: m7 +-- 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_m7_af50bf1ddbf537eb +-- problem_id: v2p_m7_8a8aeee3f86c200d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("avg_glucose_level") AS avg_response +FROM "m7" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f274ef952604f54f134fe966cf3fa36ff2ce9bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_af50bf1ddbf537eb\n-- problem_id: v2p_m7_8a8aeee3f86c200d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"avg_glucose_level\") AS avg_response\nFROM \"m7\"\nGROUP BY \"age\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_af50bf1ddbf537eb\\n-- problem_id: v2p_m7_8a8aeee3f86c200d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"avg_glucose_level\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"78\", \"support\": 102, \"avg_response\": 119.66421568627452}, {\"age\": \"57\", \"support\": 95, \"avg_response\": 113.88715789473684}, {\"age\": \"52\", \"support\": 90, \"avg_response\": 113.71577777777777}, {\"age\": \"54\", \"support\": 87, \"avg_response\": 117.45965517241379}, {\"age\": \"51\", \"support\": 86, \"avg_response\": 114.9863953488372}, {\"age\": \"79\", \"support\": 85, \"avg_response\": 113.80682352941176}, {\"age\": \"53\", \"support\": 85, \"avg_response\": 110.28964705882353}, {\"age\": \"45\", \"support\": 85, \"avg_response\": 97.97058823529412}, {\"age\": \"50\", \"support\": 83, \"avg_response\": 104.18}, {\"age\": \"55\", \"support\": 83, \"avg_response\": 100.9322891566265}, {\"age\": \"59\", \"support\": 80, \"avg_response\": 120.12525000000001}, {\"age\": \"49\", \"support\": 79, \"avg_response\": 105.1106329113924}, {\"age\": \"31\", \"support\": 79, \"avg_response\": 93.40721518987341}, {\"age\": \"56\", \"support\": 77, \"avg_response\": 118.52844155844157}, {\"age\": \"61\", \"support\": 76, \"avg_response\": 115.43842105263157}, {\"age\": \"37\", \"support\": 76, \"avg_response\": 103.11723684210526}, {\"age\": \"47\", \"support\": 75, \"avg_response\": 106.16106666666667}, {\"age\": \"44\", \"support\": 75, \"avg_response\": 95.0116}, {\"age\": \"63\", \"support\": 74, \"avg_response\": 120.92229729729729}, {\"age\": \"62\", \"support\": 74, \"avg_response\": 111.82662162162163}, {\"age\": \"40\", \"support\": 74, \"avg_response\": 103.88594594594595}, {\"age\": \"41\", \"support\": 73, \"avg_response\": 100.26657534246576}, {\"age\": \"60\", \"support\": 72, \"avg_response\": 119.23958333333333}, {\"age\": \"38\", \"support\": 72, \"avg_response\": 107.71236111111111}, {\"age\": \"39\", \"support\": 71, \"avg_response\": 102.36098591549296}, {\"age\": \"42\", \"support\": 71, \"avg_response\": 99.00887323943662}, {\"age\": \"32\", \"support\": 71, \"avg_response\": 89.05788732394366}, {\"age\": \"80\", \"support\": 70, \"avg_response\": 119.77285714285715}, {\"age\": \"43\", \"support\": 70, \"avg_response\": 96.34285714285714}, {\"age\": \"58\", \"support\": 68, \"avg_response\": 113.44617647058824}, {\"age\": \"34\", \"support\": 68, \"avg_response\": 95.85632352941177}, {\"age\": \"48\", \"support\": 66, \"avg_response\": 109.06378787878788}, {\"age\": \"5\", \"support\": 65, \"avg_response\": 91.66}, {\"age\": \"23\", \"support\": 64, \"avg_response\": 90.23796875000001}, {\"age\": \"65\", \"support\": 62, \"avg_response\": 118.29129032258065}, {\"age\": \"26\", \"support\": 62, \"avg_response\": 97.56935483870969}, {\"age\": \"46\", \"support\": 62, \"avg_response\": 96.61}, {\"age\": \"71\", \"support\": 61, \"avg_response\": 138.69852459016394}, {\"age\": \"66\", \"support\": 60, \"avg_response\": 121.36883333333334}, {\"age\": \"81\", \"support\": 60, \"avg_response\": 117.18016666666666}, {\"age\": \"18\", \"support\": 60, \"avg_response\": 100.22416666666666}, {\"age\": \"17\", \"support\": 60, \"avg_response\": 88.39183333333334}, {\"age\": \"20\", \"support\": 59, \"avg_response\": 92.19186440677966}, {\"age\": \"8\", \"support\": 58, \"avg_response\": 92.12517241379311}, {\"age\": \"33\", \"support\": 57, \"avg_response\": 95.53473684210527}, {\"age\": \"25\", \"support\": 57, \"avg_response\": 94.03982456140352}, {\"age\": \"13\", \"support\": 57, \"avg_response\": 93.79877192982455}, {\"age\": \"82\", \"support\": 56, \"avg_response\": 130.48357142857142}, {\"age\": \"24\", \"support\": 55, \"avg_response\": 99.22527272727274}, {\"age\": \"27\", \"support\": 55, \"avg_response\": 96.87854545454545}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54ef15a29a0196b2f4c930d102dbf0b5fc66af39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.919092+00:00", + "ended_at": "2026-05-19T16:09:16.922740+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_af50bf1ddbf537eb", + "problem_id": "v2p_m7_8a8aeee3f86c200d", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=avg_glucose_level, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "avg_glucose_level", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af50bf1ddbf537eb.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af50bf1ddbf537eb/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8d30c795b4d271b72aa20c4d4744c1dd773d412b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7921, "bytes_utf8": 7921, "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": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14345, "cached_input_tokens": 12032, "output_tokens": 301, "reasoning_output_tokens": 190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a130a8e06f24103e6e43e1bf8207de8c7b5a486c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/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_af66ac68934bf3fd", + "api_calls": 0, + "input_tokens": 14345, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 14646, + "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": 8555.35, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/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_af66ac68934bf3fd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..95eba1154e1ffb0275799ee89938275fbc4b47ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/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": "2026-05-19T16:00:18.332278+00:00", + "ended_at": "2026-05-19T16:00:26.887647+00:00", + "elapsed_ms": 8555.35, + "prompt_metrics": { + "chars": 7921, + "bytes_utf8": 7921, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 754, + "bytes_utf8": 754, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 391, + "bytes_utf8": 391, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14345, + "cached_input_tokens": 12032, + "output_tokens": 301, + "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_af66ac68934bf3fd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..339f248b6916446025194deb0ab40c3bab9c7fb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/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=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": "No", + "positive_value": "Yes", + "negative_value": "No", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_af66ac68934bf3fd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..64e580f17cc0a70e0c9a07c59d53d4b6efc0d6ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-70b2-7963-9a58-283d2e8d8afd"} +{"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\\\" = 'No' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"ever_married\\\" and condition_col=\\\"ever_married\\\", using condition_value='No'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14345,"cached_input_tokens":12032,"output_tokens":301,"reasoning_output_tokens":190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55d3280e79ef2967c6ac4380b225e8727ccf5cef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/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\" = 'No' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"ever_married\" and condition_col=\"ever_married\", using condition_value='No'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7386fcfd4fbec541c59983c92a29c09e97b15530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "0", "group_value": 189890.0}, {"hypertension": "1", "group_value": 30998.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2a41299b90fa08bfb5b60580c9960a59fc1d989 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/generated_sql.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: m7 +-- 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_m7_b084a117851d0619 +-- problem_id: v2p_m7_c9af894fc983410a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "hypertension", + SUM(CAST("age" AS REAL)) AS group_value + FROM "m7" + WHERE "hypertension" IS NOT NULL + AND "hypertension" <> '' + AND "age" IS NOT NULL + AND "age" <> '' + GROUP BY "hypertension" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."hypertension", + 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/m7/artifacts/v2q_m7_b084a117851d0619/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78331e8b8fe6278b883787f9282d9b544cdcc7f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"group_value\"], \"rows\": [{\"hypertension\": \"0\", \"group_value\": 189890.0}, {\"hypertension\": \"1\", \"group_value\": 30998.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..efcd7ddae19e92be52ca74592e909212f68fbcf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:46:25.986256+00:00", + "ended_at": "2026-05-19T15:46:42.254711+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b084a117851d0619", + "problem_id": "v2p_m7_c9af894fc983410a", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b084a117851d0619.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d7457e331ca01b0a060dadc399d2f46103067557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:42.244884+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16255.2, "started_at": "2026-05-19T15:46:25.987653+00:00", "ended_at": "2026-05-19T15:46:42.242910+00:00", "prompt_metrics": {"chars": 8211, "bytes_utf8": 8211, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..37d841ee7b0d9e91be559660b4da0fb50cbfb8c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b084a117851d0619/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b09ded987d65335e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6af11847eae5f75ac4a462993e91d7ec1534931 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7742, "bytes_utf8": 7742, "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": 505, "bytes_utf8": 505, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14288, "cached_input_tokens": 13696, "output_tokens": 431, "reasoning_output_tokens": 302}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..37a88bd9c103245b4942419267b638aeafe80df6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/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_b09ded987d65335e", + "api_calls": 0, + "input_tokens": 14288, + "cached_input_tokens": 13696, + "output_tokens": 431, + "total_tokens": 14719, + "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": 10697.55, + "sql_execution_elapsed_ms_total": 10.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/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_b09ded987d65335e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e6fd788f4239fde1129e972448a3ecf3b83a397 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:18.696383+00:00", + "ended_at": "2026-05-19T16:08:29.393960+00:00", + "elapsed_ms": 10697.55, + "prompt_metrics": { + "chars": 7742, + "bytes_utf8": 7742, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 868, + "bytes_utf8": 868, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 505, + "bytes_utf8": 505, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14288, + "cached_input_tokens": 13696, + "output_tokens": 431, + "reasoning_output_tokens": 302 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_b09ded987d65335e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79c62c05ac311464cd40725b40bdd6a6a326d98f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/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=hypertension, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hypertension", + "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": "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_b09ded987d65335e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b597ea3cb6761843daf036caf834cd4857440d2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c508-77b1-b08a-bcf87345d1e6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"hypertension\\\",\\n AVG(CAST(NULLIF(\\\"age\\\", '') AS REAL)) OVER (PARTITION BY \\\"hypertension\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the planned Window Partition Average template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". \\\"age\\\" is stored as TEXT in the schema, so it is cast to REAL and empty strings are filtered out for a stable average.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14288,"cached_input_tokens":13696,"output_tokens":431,"reasoning_output_tokens":302}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2c2b105fc4a170f518e2a26a9727f9013c5910f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"hypertension\",\n AVG(CAST(NULLIF(\"age\", '') AS REAL)) OVER (PARTITION BY \"hypertension\") AS avg_measure\nFROM \"m7\"\nWHERE NULLIF(\"age\", '') IS NOT NULL\nORDER BY avg_measure DESC;","notes":"Uses the planned Window Partition Average template with group_col=\"hypertension\" and measure_col=\"age\". \"age\" is stored as TEXT in the schema, so it is cast to REAL and empty strings are filtered out for a stable average."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4301427365bd905624af4a5fed3ab3050039889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "1", "id": "41069", "total_measure": 56.6, "share_within_group": 0.8887493130250451}, {"stroke": "1", "id": "13861", "total_measure": 48.9, "share_within_group": 0.7678417209704012}, {"stroke": "1", "id": "17004", "total_measure": 47.5, "share_within_group": 0.7458585224150114}, {"stroke": "1", "id": "24905", "total_measure": 46.0, "share_within_group": 0.7223050953913794}, {"stroke": "1", "id": "42117", "total_measure": 45.9, "share_within_group": 0.7207348669231373}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2faaa4f064a2be6fbf65aa6f70236e5fbe84e44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/generated_sql.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: m7 +-- 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_m7_b0c227029fe102d1 +-- problem_id: v2p_m7_33f7eef62af34dd1 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "stroke") AS share_within_group +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL +GROUP BY "stroke", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..038922ad44f7a090b306d0d7f758c984c4aed43b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stroke\", \"id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"stroke\": \"1\", \"id\": \"41069\", \"total_measure\": 56.6, \"share_within_group\": 0.8887493130250451}, {\"stroke\": \"1\", \"id\": \"13861\", \"total_measure\": 48.9, \"share_within_group\": 0.7678417209704012}, {\"stroke\": \"1\", \"id\": \"17004\", \"total_measure\": 47.5, \"share_within_group\": 0.7458585224150114}, {\"stroke\": \"1\", \"id\": \"24905\", \"total_measure\": 46.0, \"share_within_group\": 0.7223050953913794}, {\"stroke\": \"1\", \"id\": \"42117\", \"total_measure\": 45.9, \"share_within_group\": 0.7207348669231373}, {\"stroke\": \"1\", \"id\": \"20426\", \"total_measure\": 45.7, \"share_within_group\": 0.717594409986653}, {\"stroke\": \"1\", \"id\": \"58267\", \"total_measure\": 45.5, \"share_within_group\": 0.7144539530501688}, {\"stroke\": \"1\", \"id\": \"62466\", \"total_measure\": 45.0, \"share_within_group\": 0.7066028107089581}, {\"stroke\": \"1\", \"id\": \"43717\", \"total_measure\": 44.2, \"share_within_group\": 0.6940409829630211}, {\"stroke\": \"1\", \"id\": \"57419\", \"total_measure\": 44.1, \"share_within_group\": 0.692470754494779}, {\"stroke\": \"1\", \"id\": \"66071\", \"total_measure\": 42.5, \"share_within_group\": 0.6673470990029049}, {\"stroke\": \"1\", \"id\": \"45535\", \"total_measure\": 42.4, \"share_within_group\": 0.6657768705346628}, {\"stroke\": \"1\", \"id\": \"12689\", \"total_measure\": 42.2, \"share_within_group\": 0.6626364135981785}, {\"stroke\": \"1\", \"id\": \"59125\", \"total_measure\": 41.5, \"share_within_group\": 0.6516448143204836}, {\"stroke\": \"1\", \"id\": \"14499\", \"total_measure\": 41.1, \"share_within_group\": 0.6453639004475151}, {\"stroke\": \"1\", \"id\": \"40460\", \"total_measure\": 40.5, \"share_within_group\": 0.6359425296380623}, {\"stroke\": \"1\", \"id\": \"10710\", \"total_measure\": 40.4, \"share_within_group\": 0.6343723011698202}, {\"stroke\": \"1\", \"id\": \"12062\", \"total_measure\": 40.4, \"share_within_group\": 0.6343723011698202}, {\"stroke\": \"1\", \"id\": \"29552\", \"total_measure\": 40.0, \"share_within_group\": 0.6280913872968517}, {\"stroke\": \"1\", \"id\": \"1210\", \"total_measure\": 39.3, \"share_within_group\": 0.6170997880191568}, {\"stroke\": \"1\", \"id\": \"36338\", \"total_measure\": 39.2, \"share_within_group\": 0.6155295595509147}, {\"stroke\": \"1\", \"id\": \"71279\", \"total_measure\": 38.7, \"share_within_group\": 0.6076784172097041}, {\"stroke\": \"1\", \"id\": \"47472\", \"total_measure\": 38.6, \"share_within_group\": 0.6061081887414619}, {\"stroke\": \"1\", \"id\": \"27458\", \"total_measure\": 37.8, \"share_within_group\": 0.5935463609955248}, {\"stroke\": \"1\", \"id\": \"56112\", \"total_measure\": 37.5, \"share_within_group\": 0.5888356755907984}, {\"stroke\": \"1\", \"id\": \"66315\", \"total_measure\": 37.5, \"share_within_group\": 0.5888356755907984}, {\"stroke\": \"1\", \"id\": \"28378\", \"total_measure\": 37.4, \"share_within_group\": 0.5872654471225563}, {\"stroke\": \"1\", \"id\": \"59437\", \"total_measure\": 37.3, \"share_within_group\": 0.5856952186543142}, {\"stroke\": \"1\", \"id\": \"14431\", \"total_measure\": 37.1, \"share_within_group\": 0.5825547617178299}, {\"stroke\": \"1\", \"id\": \"24669\", \"total_measure\": 36.9, \"share_within_group\": 0.5794143047813457}, {\"stroke\": \"1\", \"id\": \"12095\", \"total_measure\": 36.8, \"share_within_group\": 0.5778440763131035}, {\"stroke\": \"1\", \"id\": \"37651\", \"total_measure\": 36.8, \"share_within_group\": 0.5778440763131035}, {\"stroke\": \"1\", \"id\": \"17739\", \"total_measure\": 36.7, \"share_within_group\": 0.5762738478448615}, {\"stroke\": \"1\", \"id\": \"9046\", \"total_measure\": 36.6, \"share_within_group\": 0.5747036193766193}, {\"stroke\": \"1\", \"id\": \"25831\", \"total_measure\": 36.5, \"share_within_group\": 0.5731333909083771}, {\"stroke\": \"1\", \"id\": \"53440\", \"total_measure\": 36.5, \"share_within_group\": 0.5731333909083771}, {\"stroke\": \"1\", \"id\": \"69551\", \"total_measure\": 36.5, \"share_within_group\": 0.5731333909083771}, {\"stroke\": \"1\", \"id\": \"32221\", \"total_measure\": 35.9, \"share_within_group\": 0.5637120200989244}, {\"stroke\": \"1\", \"id\": \"44033\", \"total_measure\": 35.8, \"share_within_group\": 0.5621417916306822}, {\"stroke\": \"1\", \"id\": \"64373\", \"total_measure\": 35.8, \"share_within_group\": 0.5621417916306822}, {\"stroke\": \"1\", \"id\": \"36255\", \"total_measure\": 35.5, \"share_within_group\": 0.5574311062259559}, {\"stroke\": \"1\", \"id\": \"69959\", \"total_measure\": 35.4, \"share_within_group\": 0.5558608777577138}, {\"stroke\": \"1\", \"id\": \"11762\", \"total_measure\": 34.9, \"share_within_group\": 0.5480097354165031}, {\"stroke\": \"1\", \"id\": \"45277\", \"total_measure\": 34.6, \"share_within_group\": 0.5432990500117767}, {\"stroke\": \"1\", \"id\": \"16077\", \"total_measure\": 34.5, \"share_within_group\": 0.5417288215435346}, {\"stroke\": \"1\", \"id\": \"52282\", \"total_measure\": 34.5, \"share_within_group\": 0.5417288215435346}, {\"stroke\": \"1\", \"id\": \"60182\", \"total_measure\": 34.4, \"share_within_group\": 0.5401585930752925}, {\"stroke\": \"1\", \"id\": \"68356\", \"total_measure\": 34.4, \"share_within_group\": 0.5401585930752925}, {\"stroke\": \"1\", \"id\": \"3512\", \"total_measure\": 34.2, \"share_within_group\": 0.5370181361388082}, {\"stroke\": \"1\", \"id\": \"32503\", \"total_measure\": 34.1, \"share_within_group\": 0.535447907670566}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 39.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7fe024c4e4ab307bd6c6e81ad2986ea27a0f4dcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:37:37.466036+00:00", + "ended_at": "2026-05-19T15:37:48.434868+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b0c227029fe102d1", + "problem_id": "v2p_m7_33f7eef62af34dd1", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=stroke, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0c227029fe102d1.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..904b53b768e7a258be9592a0a4c4c262e2caf5a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:48.392052+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10922.86, "started_at": "2026-05-19T15:37:37.467524+00:00", "ended_at": "2026-05-19T15:37:48.390422+00:00", "prompt_metrics": {"chars": 8050, "bytes_utf8": 8050, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..84a11c3f082c5ebf8c2d64b122889f24753a85c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0c227029fe102d1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b0ce2555f72257fa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c280c372b12c6d108fd9fba2460e7bcb0687ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"empirical_cdf_at_threshold": 0.7499021526418786}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f37a4ccfeca70534d86632d96dbbda43283d63f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/generated_sql.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: m7 +-- 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_m7_b0ce2555f72257fa +-- problem_id: v2p_m7_a4edcf6c5392ffbd +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d24b1b68bae778ae17098fd1edbb0971ae05bed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499021526418786}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..372e5b450b1a7f46397fc2157c41e7a662a4f0c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:03:52.803361+00:00", + "ended_at": "2026-05-19T16:04:07.734421+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b0ce2555f72257fa", + "problem_id": "v2p_m7_a4edcf6c5392ffbd", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=116" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0ce2555f72257fa.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5862b73a5173ad597b4457e937e191c0d9746a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:07.732293+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14926.75, "started_at": "2026-05-19T16:03:52.804711+00:00", "ended_at": "2026-05-19T16:04:07.731487+00:00", "prompt_metrics": {"chars": 7586, "bytes_utf8": 7586, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..84cc8a433ae81fd6bdcb77cb519b0515b7267943 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0ce2555f72257fa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b0db62177aa4737b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..205bde3de79de031bd17ce8344e6be0d3bb2db33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:19.694698+00:00", + "ended_at": "2026-05-19T16:07:24.200278+00:00", + "elapsed_ms": 4505.55, + "returncode": 1, + "prompt_metrics": { + "chars": 7776, + "bytes_utf8": 7776, + "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_b0db62177aa4737b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e80546ecdaeef8e82d0cefc905185c8d0fe6f99f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:25.202562+00:00", + "ended_at": "2026-05-19T16:07:27.819168+00:00", + "elapsed_ms": 2616.56, + "returncode": 1, + "prompt_metrics": { + "chars": 7776, + "bytes_utf8": 7776, + "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_b0db62177aa4737b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6cf2d6295c60ac40545d290c0246f3fafa3063d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/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=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": 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 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_b0db62177aa4737b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6cf2d6295c60ac40545d290c0246f3fafa3063d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/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=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": 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 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_b0db62177aa4737b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..baa10d3f011757c7cc4c960d2ba341739387504f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-dea3-77f2-bc57-06b372f1a28f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b0db62177aa4737b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5ade889fd2fcd923a4a2131ef4876c06d0bd3e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-dea3-77f2-bc57-06b372f1a28f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b0db62177aa4737b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0442f201c558ac6ee22a220146d86f8c36b9f7b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-f40b-77d1-a9f4-b58f45d989d4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b0db62177aa4737b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3304d7d9a848b93199e49e740d6434f05ff59663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-f40b-77d1-a9f4-b58f45d989d4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b0db62177aa4737b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/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_b0db62177aa4737b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/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_b122600f1acc127d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11c7fdac140b4ba0ea831607f0505df9e06ae8fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"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": 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": 7586, "bytes_utf8": 7586, "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": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14266, "cached_input_tokens": 12032, "output_tokens": 435, "reasoning_output_tokens": 331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0977c3fc06b97047e0b8c0d40e6e9450c664f3c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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_b122600f1acc127d", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 14701, + "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": 13326.62, + "sql_execution_elapsed_ms_total": 1.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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_b122600f1acc127d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ebb91eec8e9299087ed9c34352e2f1a63624ea49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:13.121458+00:00", + "ended_at": "2026-05-19T16:02:16.023860+00:00", + "elapsed_ms": 2902.38, + "returncode": 1, + "prompt_metrics": { + "chars": 7586, + "bytes_utf8": 7586, + "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_b122600f1acc127d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cf65d482270e14cdc6b9edcb7f581548f49ef0c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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": "2026-05-19T16:02:17.025856+00:00", + "ended_at": "2026-05-19T16:02:27.450142+00:00", + "elapsed_ms": 10424.24, + "prompt_metrics": { + "chars": 7586, + "bytes_utf8": 7586, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 682, + "bytes_utf8": 682, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 334, + "bytes_utf8": 334, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14266, + "cached_input_tokens": 12032, + "output_tokens": 435, + "reasoning_output_tokens": 331 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_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_b122600f1acc127d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f212e597474bc26a9fbea3952bf6d80d2039a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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": 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 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_b122600f1acc127d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f212e597474bc26a9fbea3952bf6d80d2039a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_b122600f1acc127d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad385564a0aa7c6399737e60fe28da23d12c3b13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-311c-74d1-b2ca-655512589b8d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b122600f1acc127d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..caf1108ef4ba95e8752fc37c2036a7c5dcd20421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-311c-74d1-b2ca-655512589b8d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b122600f1acc127d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc292b84debb08d56edc1c3b8f5d1b9f28398dd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-403b-7062-8acd-f2aa02d804b3"} +{"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 Threshold Rarity CDF template with measure_col bound to \\\"id\\\" and threshold 54682.0. Cast \\\"id\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14266,"cached_input_tokens":12032,"output_tokens":435,"reasoning_output_tokens":331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ba42f2e359562caa233a18c399aca9bbca9cb0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_response_attempt_2.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 Threshold Rarity CDF template with measure_col bound to \"id\" and threshold 54682.0. Cast \"id\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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_b122600f1acc127d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9a62f23d5ec8385a602d94b58c35e237457be32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "total_measure": 109220177}, {"gender": "Male", "total_measure": 77329775}, {"gender": "Other", "total_measure": 56156}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c40e5efa7e90ae3283d23521f1168f12ccd6f9d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/generated_sql.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: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b2a16e0949f33414 +-- problem_id: v2p_m7_fe70a14b335cf99f +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "m7" +GROUP BY "gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8cb54947fd4f5d6e0c4ee8a357d4111784bfab8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"gender\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"total_measure\"], \"rows\": [{\"gender\": \"Female\", \"total_measure\": 109220177}, {\"gender\": \"Male\", \"total_measure\": 77329775}, {\"gender\": \"Other\", \"total_measure\": 56156}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..62d0f97e9fb56370493d14917dbfffdeb762f2df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:31:43.753386+00:00", + "ended_at": "2026-05-19T15:31:54.103585+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b2a16e0949f33414", + "problem_id": "v2p_m7_fe70a14b335cf99f", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2a16e0949f33414.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2dd431795cdbe8c96dfc14efc162e66aa9bbccd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:54.099979+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10344.73, "started_at": "2026-05-19T15:31:43.754456+00:00", "ended_at": "2026-05-19T15:31:54.099212+00:00", "prompt_metrics": {"chars": 7647, "bytes_utf8": 7647, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c71ff8769477c280c4bdf4ec8bd5bfd12abdc4ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2a16e0949f33414/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b47b5e0921996824/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1929d5ef3be7bda12171afdbeb6128551c47a55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"avg_glucose_level": "93.88", "support": 6, "avg_response": 39372.333333333336}, {"avg_glucose_level": "84.1", "support": 5, "avg_response": 34431.6}, {"avg_glucose_level": "73", "support": 5, "avg_response": 34316.6}, {"avg_glucose_level": "91.85", "support": 5, "avg_response": 26111.6}, {"avg_glucose_level": "72.49", "support": 5, "avg_response": 25818.6}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..457e04e5aca1b3e7daff45484f8cb670120177a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/generated_sql.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: m7 +-- 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_m7_b47b5e0921996824 +-- problem_id: v2p_m7_a6ec3d0bf4db7997 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "avg_glucose_level", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "m7" +GROUP BY "avg_glucose_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1bfeaa77e211b68b0557664301c2c2e2faf5890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_b47b5e0921996824\n-- problem_id: v2p_m7_a6ec3d0bf4db7997\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"avg_glucose_level\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"m7\"\nGROUP BY \"avg_glucose_level\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_b47b5e0921996824\\n-- problem_id: v2p_m7_a6ec3d0bf4db7997\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"avg_glucose_level\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"avg_glucose_level\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"avg_glucose_level\", \"support\", \"avg_response\"], \"rows\": [{\"avg_glucose_level\": \"93.88\", \"support\": 6, \"avg_response\": 39372.333333333336}, {\"avg_glucose_level\": \"84.1\", \"support\": 5, \"avg_response\": 34431.6}, {\"avg_glucose_level\": \"73\", \"support\": 5, \"avg_response\": 34316.6}, {\"avg_glucose_level\": \"91.85\", \"support\": 5, \"avg_response\": 26111.6}, {\"avg_glucose_level\": \"72.49\", \"support\": 5, \"avg_response\": 25818.6}, {\"avg_glucose_level\": \"91.68\", \"support\": 5, \"avg_response\": 24967.2}, {\"avg_glucose_level\": \"83.16\", \"support\": 5, \"avg_response\": 22535.6}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5eaf5c2c8eb8871e914debe16e7cae977f69e11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.926965+00:00", + "ended_at": "2026-05-19T16:09:16.930840+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b47b5e0921996824", + "problem_id": "v2p_m7_a6ec3d0bf4db7997", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=avg_glucose_level.", + "bindings": { + "key_col": "avg_glucose_level", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b47b5e0921996824.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b47b5e0921996824/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7386fcfd4fbec541c59983c92a29c09e97b15530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "0", "group_value": 189890.0}, {"hypertension": "1", "group_value": 30998.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad8f90fc8a66e6cdb7f0799641df25f41af22ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_b511c43b0b93626a +-- problem_id: v2p_m7_7d85ed2736719a04 +-- realization_mode: agent +-- source_kind: agent +WITH "filtered" AS ( + SELECT + "hypertension", + CAST("age" AS REAL) AS "age" + FROM "m7" + WHERE NULLIF(TRIM("hypertension"), '') IS NOT NULL + AND NULLIF(TRIM("age"), '') IS NOT NULL +), "grouped" AS ( + SELECT "hypertension", SUM("age") AS "group_value" + FROM "filtered" + GROUP BY "hypertension" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."hypertension", 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/m7/artifacts/v2q_m7_b511c43b0b93626a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3ad9e546da88043933aed5b42151888faf095527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"group_value\"], \"rows\": [{\"hypertension\": \"0\", \"group_value\": 189890.0}, {\"hypertension\": \"1\", \"group_value\": 30998.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f55abdeee42422ad36539a9dc43dd297e9553294 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:50:07.842875+00:00", + "ended_at": "2026-05-19T15:50:19.730161+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b511c43b0b93626a", + "problem_id": "v2p_m7_7d85ed2736719a04", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b511c43b0b93626a.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35a3dd4e614941967dc81c78ef0f1603b604ca25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:19.724507+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11879.58, "started_at": "2026-05-19T15:50:07.843906+00:00", "ended_at": "2026-05-19T15:50:19.723515+00:00", "prompt_metrics": {"chars": 8211, "bytes_utf8": 8211, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..902285a3395a7e9f4c8851f5377e4cb6ba6161c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b511c43b0b93626a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b6f9cc6b7d0f650f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b9cd1b135d19f7c8108479f2ac575d96d4f4d3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "percentile_measure": 65840.2}, {"gender": "Male", "percentile_measure": 65403.00000000001}, {"gender": "Other", "percentile_measure": 56156.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..325215d5e16ca4dc18c06480c2289fdd1308cbfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/generated_sql.sql @@ -0,0 +1,67 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_b6f9cc6b7d0f650f +-- problem_id: v2p_m7_a9d36a60f58264b2 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "gender", + CAST("id" AS REAL) AS "measure" + FROM "m7" + WHERE "id" IS NOT NULL + AND "id" <> '' +), +"ranked" AS ( + SELECT + "gender", + "measure", + ROW_NUMBER() OVER ( + PARTITION BY "gender" + ORDER BY "measure" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "gender" + ) AS "n" + FROM "base" +), +"positions" AS ( + SELECT DISTINCT + "gender", + (1.0 + 0.9 * ("n" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) AS "lo_rn", + 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" + FROM "ranked" +), +"picked" AS ( + SELECT + p."gender", + p."pos", + p."lo_rn", + p."hi_rn", + MAX(CASE WHEN r."rn" = p."lo_rn" THEN r."measure" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi_rn" THEN r."measure" END) AS "hi_val" + FROM "positions" AS p + JOIN "ranked" AS r + ON r."gender" = p."gender" + GROUP BY + p."gender", + p."pos", + p."lo_rn", + p."hi_rn" +) +SELECT + "gender", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_val" + ELSE "lo_val" + (("pos" - "lo_rn") * ("hi_val" - "lo_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..16a8eb0ad1b02bf1b9d831c304d449599f7a5f0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"percentile_measure\"], \"rows\": [{\"gender\": \"Female\", \"percentile_measure\": 65840.2}, {\"gender\": \"Male\", \"percentile_measure\": 65403.00000000001}, {\"gender\": \"Other\", \"percentile_measure\": 56156.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 24.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..831d55fb00de4cbdfe341c96c38e8eed4d6990ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:55:25.980161+00:00", + "ended_at": "2026-05-19T15:55:49.833815+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b6f9cc6b7d0f650f", + "problem_id": "v2p_m7_a9d36a60f58264b2", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b6f9cc6b7d0f650f.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07769036055ba082db499baf001d8fab2df105b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:29.183517+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3201.73, "started_at": "2026-05-19T15:55:25.981063+00:00", "ended_at": "2026-05-19T15:55:29.182815+00:00", "prompt_metrics": {"chars": 7825, "bytes_utf8": 7825, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-faac-7d21-9c3e-d9bb1e8fdad2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:49.807721+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19621.14, "started_at": "2026-05-19T15:55:30.184927+00:00", "ended_at": "2026-05-19T15:55:49.806127+00:00", "prompt_metrics": {"chars": 7825, "bytes_utf8": 7825, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4aabdd54d45f4795d4e5bfda90f58f713dcd1161 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b6f9cc6b7d0f650f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b869a583d129662d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebf26660dcc8fecbaee23329d1f70dff8c3d9d25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "Yes", "group_value": 98845.8}, {"ever_married": "No", "group_value": 42991.1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a01678637e21132f674cbdfc2bf5613a5f5a66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/generated_sql.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: m7 +-- 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_m7_b869a583d129662d +-- problem_id: v2p_m7_10ac86641ae41e95 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "ever_married" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."ever_married", 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/m7/artifacts/v2q_m7_b869a583d129662d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4931d342d2550f4fd196a4c4f06d0a06a9b058a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"ever_married\", \"group_value\"], \"rows\": [{\"ever_married\": \"Yes\", \"group_value\": 98845.8}, {\"ever_married\": \"No\", \"group_value\": 42991.1}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d4b188afe64eb047087cb85a5e098d8aff912da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:47:43.000188+00:00", + "ended_at": "2026-05-19T15:48:00.982162+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b869a583d129662d", + "problem_id": "v2p_m7_10ac86641ae41e95", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ever_married, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b869a583d129662d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..487909d12985bad198a6481db1f16cf22314d027 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:00.977648+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17974.31, "started_at": "2026-05-19T15:47:43.002228+00:00", "ended_at": "2026-05-19T15:48:00.976577+00:00", "prompt_metrics": {"chars": 8212, "bytes_utf8": 8212, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a23cf61847f01b547a563bf9aca663a0c418a7e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b869a583d129662d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b9a7502e5a951249/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..357348139f63ef6ea8e4cd3bff13e3d641f86fec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "0", "total_measure": 135468.4}, {"stroke": "1", "total_measure": 6368.5}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..36340c41241c73db54cff5bd94ff3f924a2b1453 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/generated_sql.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: m7 +-- 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_m7_b9a7502e5a951249 +-- problem_id: v2p_m7_5e52e39309079f74 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "stroke" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..815e51c15f86717bb9c09b56828fead992e508c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"stroke\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stroke\", \"total_measure\"], \"rows\": [{\"stroke\": \"0\", \"total_measure\": 135468.4}, {\"stroke\": \"1\", \"total_measure\": 6368.5}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a4f59a9e7181328b3fb5366e3b102e88f094683b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:31:19.690606+00:00", + "ended_at": "2026-05-19T15:31:34.191180+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b9a7502e5a951249", + "problem_id": "v2p_m7_5e52e39309079f74", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stroke, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9a7502e5a951249.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95ebc6c7fbcadfbdc0fe2cb74bc06a416716dbd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:34.184796+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14491.29, "started_at": "2026-05-19T15:31:19.691980+00:00", "ended_at": "2026-05-19T15:31:34.183318+00:00", "prompt_metrics": {"chars": 7646, "bytes_utf8": 7646, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c235cdbf3aee64610480c4f66447ea28270893c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9a7502e5a951249/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_ba6893a6d25326e5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1e4430aa1c96c33a60b94d4f4919c34eaf6fbdaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:50.899915+00:00", + "ended_at": "2026-05-19T16:06:58.258689+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ba6893a6d25326e5", + "problem_id": "v2p_m7_b0c0579228682528", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e78bd648acad63d55a0f999faaa5825f70b127cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba6893a6d25326e5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:54.057553+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3154.68, "started_at": "2026-05-19T16:06:50.901959+00:00", "ended_at": "2026-05-19T16:06:54.056671+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-6e13-7603-b3ef-5ce6da76995f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:58.258570+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3198.68, "started_at": "2026-05-19T16:06:55.058985+00:00", "ended_at": "2026-05-19T16:06:58.257728+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-7e5f-70e1-8d78-e0bcc33546aa\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbd85dbd222a79d1a9a0075bf50db9af32e6b8ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "0", "group_value": 189890.0}, {"hypertension": "1", "group_value": 30998.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3f74a4b13e375d31686db00d53cbb489016e9569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/generated_sql.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: m7 +-- 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_m7_bb835f8f4ef24bcb +-- problem_id: v2p_m7_fe4b103112ff7a20 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "hypertension", SUM(CAST(NULLIF("age", '') AS REAL)) AS "group_value" + FROM "m7" + GROUP BY "hypertension" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT "g"."hypertension", "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/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4fff5ef15db20e553cb0aae9ed81a9f804727722 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"group_value\"], \"rows\": [{\"hypertension\": \"0\", \"group_value\": 189890.0}, {\"hypertension\": \"1\", \"group_value\": 30998.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1654911dacaa4f079cdaa2c593dff113e78da507 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:50:19.730832+00:00", + "ended_at": "2026-05-19T15:50:33.706576+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_bb835f8f4ef24bcb", + "problem_id": "v2p_m7_fe4b103112ff7a20", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bb835f8f4ef24bcb.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ad8665a568690befe7ab8995933a25670c8b94d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:33.702891+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13969.94, "started_at": "2026-05-19T15:50:19.732208+00:00", "ended_at": "2026-05-19T15:50:33.702171+00:00", "prompt_metrics": {"chars": 8212, "bytes_utf8": 8212, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c4f7fb25cca36483d8ca7aeeeaf74dd656e763ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bb835f8f4ef24bcb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_bd23d9c21a243294/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f42c6be87cd08cbbfb3cf24a71f6a5926b876d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Never_worked", "age": "17", "total_measure": 178178.0, "share_within_group": 21.16035281109975}, {"work_type": "Never_worked", "age": "14", "total_measure": 164629.0, "share_within_group": 19.551278625523583}, {"work_type": "Never_worked", "age": "16", "total_measure": 162908.0, "share_within_group": 19.346893307538743}, {"work_type": "Never_worked", "age": "15", "total_measure": 98020.0, "share_within_group": 11.640818633860507}, {"work_type": "Never_worked", "age": "18", "total_measure": 97628.0, "share_within_group": 11.59426486009522}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d0c13e6fab8cd6c1df1a7120bd3f0a00238d3ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/generated_sql.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: m7 +-- 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_m7_bd23d9c21a243294 +-- problem_id: v2p_m7_a970f2a6f215f31a +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "age", + SUM(CAST(NULLIF("id", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("id", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("id", '') AS REAL))) OVER (PARTITION BY "work_type") AS share_within_group +FROM "m7" +GROUP BY "work_type", "age" +ORDER BY share_within_group DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af6c1a53bef0a042a251a12d676b738b4ec7b3d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"work_type\": \"Never_worked\", \"age\": \"17\", \"total_measure\": 178178.0, \"share_within_group\": 21.16035281109975}, {\"work_type\": \"Never_worked\", \"age\": \"14\", \"total_measure\": 164629.0, \"share_within_group\": 19.551278625523583}, {\"work_type\": \"Never_worked\", \"age\": \"16\", \"total_measure\": 162908.0, \"share_within_group\": 19.346893307538743}, {\"work_type\": \"Never_worked\", \"age\": \"15\", \"total_measure\": 98020.0, \"share_within_group\": 11.640818633860507}, {\"work_type\": \"Never_worked\", \"age\": \"18\", \"total_measure\": 97628.0, \"share_within_group\": 11.59426486009522}, {\"work_type\": \"children\", \"age\": \"5\", \"total_measure\": 2360777.0, \"share_within_group\": 9.606964384542762}, {\"work_type\": \"children\", \"age\": \"2\", \"total_measure\": 2035242.0, \"share_within_group\": 8.282229709932611}, {\"work_type\": \"Never_worked\", \"age\": \"13\", \"total_measure\": 65318.0, \"share_within_group\": 7.757141313267707}, {\"work_type\": \"children\", \"age\": \"8\", \"total_measure\": 1830252.0, \"share_within_group\": 7.4480418009571245}, {\"work_type\": \"Never_worked\", \"age\": \"23\", \"total_measure\": 61408.0, \"share_within_group\": 7.292791171884371}, {\"work_type\": \"children\", \"age\": \"12\", \"total_measure\": 1684471.0, \"share_within_group\": 6.854799459582641}, {\"work_type\": \"children\", \"age\": \"9\", \"total_measure\": 1500882.0, \"share_within_group\": 6.107700947358141}, {\"work_type\": \"children\", \"age\": \"13\", \"total_measure\": 1466473.0, \"share_within_group\": 5.967676693687535}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5005a18f80f848912b90c6152bfd581881cbdab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:35:59.074635+00:00", + "ended_at": "2026-05-19T15:36:12.792799+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_bd23d9c21a243294", + "problem_id": "v2p_m7_a970f2a6f215f31a", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bd23d9c21a243294.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..80e857b88812a5f718127a3b1ed8ebd75acdef68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:12.777839+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13700.19, "started_at": "2026-05-19T15:35:59.076083+00:00", "ended_at": "2026-05-19T15:36:12.776315+00:00", "prompt_metrics": {"chars": 8056, "bytes_utf8": 8056, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57690122cadf38967168a0efa4e3fa79609ed3fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_bd23d9c21a243294/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_be622a93129475dd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ea621c5f8ac35be406dee357e28841e035c2bf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:43.634007+00:00", + "ended_at": "2026-05-19T16:08:46.910364+00:00", + "elapsed_ms": 3276.33, + "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_be622a93129475dd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..362f4f00992015ef780c9a0688bbc6129c8a80c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:47.912041+00:00", + "ended_at": "2026-05-19T16:08:50.881152+00:00", + "elapsed_ms": 2969.07, + "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_be622a93129475dd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef9f38dc8c9c529cbff137cfea61ba7d1274efc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/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=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ever_married", + "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": "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_be622a93129475dd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef9f38dc8c9c529cbff137cfea61ba7d1274efc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/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=ever_married, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ever_married", + "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": "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_be622a93129475dd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c8f76d0506de2c20545e1d2135114c4682988a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-267d-71e3-bb4d-292f0e6b8f99"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_be622a93129475dd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d4e2e04291535a336bd9e21a21aab615d2b6201 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-267d-71e3-bb4d-292f0e6b8f99"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_be622a93129475dd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1502949d72c96b6714514de4f53e9db3709fd429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-372a-7793-89aa-fd169d32a69d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_be622a93129475dd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8caeec45b8e17a0ecd4be75a15504f8cecf6f9de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-372a-7793-89aa-fd169d32a69d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_be622a93129475dd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/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_be622a93129475dd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/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_be6518e5f2d9aa6a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..be2d106e9ab1c5e1b3f5c2374d98f0174fddad5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=hypertension, condition_col=hypertension. +Result preview: [{"hypertension": "1", "condition_rate": 1.0}, {"hypertension": "0", "condition_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_be6518e5f2d9aa6a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bd8763f4d1c9f9c49167b730a5e8a3d8a2a866d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/generated_sql.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: m7 +-- 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_m7_be6518e5f2d9aa6a +-- problem_id: v2p_m7_b849155228009ac1 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", + AVG(CASE WHEN "hypertension" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "hypertension" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0fc1929c27ebd421a3b364f5cfa14b8dc9ea4162 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"condition_rate\"], \"rows\": [{\"hypertension\": \"1\", \"condition_rate\": 1.0}, {\"hypertension\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c697597ee26f591a148f35ab23efe3c4eb499ca6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:59:36.713249+00:00", + "ended_at": "2026-05-19T15:59:49.640962+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_be6518e5f2d9aa6a", + "problem_id": "v2p_m7_b849155228009ac1", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=hypertension, condition_col=hypertension.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be6518e5f2d9aa6a.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a42bc8e615b28729afa610c6f2bdfef1a69dea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:39.972170+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3256.86, "started_at": "2026-05-19T15:59:36.714500+00:00", "ended_at": "2026-05-19T15:59:39.971393+00:00", "prompt_metrics": {"chars": 7917, "bytes_utf8": 7917, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-ce08-7f63-aa53-29723c6add9a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:59:49.634629+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8659.39, "started_at": "2026-05-19T15:59:40.973310+00:00", "ended_at": "2026-05-19T15:59:49.632744+00:00", "prompt_metrics": {"chars": 7917, "bytes_utf8": 7917, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..368973892907ca30c6fe68f419e415d51fbeb870 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be6518e5f2d9aa6a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_c0c60e1d1bddb308/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98fad91f77c11cf9e85090e1a7c6b8fcdc2092d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/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": 286, "bytes_utf8": 286, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14252, "cached_input_tokens": 12032, "output_tokens": 254, "reasoning_output_tokens": 180}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..256adc2a79b863f1fcce3792160d05e51ad4d2b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/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_c0c60e1d1bddb308", + "api_calls": 0, + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 254, + "total_tokens": 14506, + "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": 13014.65, + "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_c0c60e1d1bddb308/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_c0c60e1d1bddb308/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef1363ac8a2b3c4e77238db3fa2edc341067fe16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/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": "2026-05-19T15:33:17.425625+00:00", + "ended_at": "2026-05-19T15:33:30.440318+00:00", + "elapsed_ms": 13014.65, + "prompt_metrics": { + "chars": 7575, + "bytes_utf8": 7575, + "lines": 238, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 973, + "bytes_utf8": 973, + "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": 286, + "bytes_utf8": 286, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 254, + "reasoning_output_tokens": 180 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_c0c60e1d1bddb308/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c4725ba2c3c52b653fc0318f46833c38b11ab9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/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=hypertension.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "hypertension", + "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 {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_c0c60e1d1bddb308/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6d3080367d1ddab02d56a1b380210717d3f186a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-b507-7a30-be86-607fc7d24c13"} +{"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 14887. 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 \\\"hypertension\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution for the bound subgroup column \\\"hypertension\\\" using the planned template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14252,"cached_input_tokens":12032,"output_tokens":254,"reasoning_output_tokens":180}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b856aef992ad5892f57426d665bb47b4dd827124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"hypertension\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution for the bound subgroup column \"hypertension\" using the planned template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee28709a2608e96288aab600c4b3da05cdea6987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoking_status, condition_col=smoking_status. +Result preview: [{"smoking_status": "never smoked", "condition_rate": 1.0}, {"smoking_status": "smokes", "condition_rate": 0.0}, {"smoking_status": "formerly smoked", "condition_rate": 0.0}, {"smoking_status": "Unknown", "condition_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_c1b0d1282da280d7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3d6de03baab94e6f4048c113068f25968daf466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/generated_sql.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: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_c1b0d1282da280d7 +-- problem_id: v2p_m7_70c8deb5b6f4ba53 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", + AVG(CASE WHEN "smoking_status" = 'never smoked' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "smoking_status" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d73a73fcd30766814c7b69a5f954a385b7aed5d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"smoking_status\", \"condition_rate\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"condition_rate\": 1.0}, {\"smoking_status\": \"smokes\", \"condition_rate\": 0.0}, {\"smoking_status\": \"formerly smoked\", \"condition_rate\": 0.0}, {\"smoking_status\": \"Unknown\", \"condition_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ca30014b31c79f4176f19d2e38bf49bf6c13576f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:01:03.299142+00:00", + "ended_at": "2026-05-19T16:01:12.922797+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c1b0d1282da280d7", + "problem_id": "v2p_m7_70c8deb5b6f4ba53", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoking_status, condition_col=smoking_status.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c1b0d1282da280d7.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b18145d76e736d57a4aee2e16829c4332a5af02a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:12.917984+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9616.72, "started_at": "2026-05-19T16:01:03.300333+00:00", "ended_at": "2026-05-19T16:01:12.917083+00:00", "prompt_metrics": {"chars": 7962, "bytes_utf8": 7962, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..04baae2256866cbdf83feb4a8604bd5288550ad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c1b0d1282da280d7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_c7a9c406148170f8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..521ac2f5dcb19544c23e72cacf135463cbfa5d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "1", "percentile_measure": 81.0}, {"hypertension": "0", "percentile_measure": 78.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..953fa7bfb134de674d4f08d4ee0675f4f881768c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_c7a9c406148170f8 +-- problem_id: v2p_m7_7fc2da3648172930 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "hypertension", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "hypertension" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "hypertension") AS "cnt" + FROM "m7" + WHERE "age" IS NOT NULL + AND TRIM("age") <> '' +) +SELECT + "hypertension", + "age_value" 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/m7/artifacts/v2q_m7_c7a9c406148170f8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d7c594835d9e30cd524827256786b663073809f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"percentile_measure\"], \"rows\": [{\"hypertension\": \"1\", \"percentile_measure\": 81.0}, {\"hypertension\": \"0\", \"percentile_measure\": 78.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 30.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3055a4befc92b80c28bda2a54c26152316754ba2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:55:57.405172+00:00", + "ended_at": "2026-05-19T15:56:21.156742+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c7a9c406148170f8", + "problem_id": "v2p_m7_7fc2da3648172930", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c7a9c406148170f8.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..446225597756ecf8098bb9ddf594d79c587fbfea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:00.189817+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2782.91, "started_at": "2026-05-19T15:55:57.406240+00:00", "ended_at": "2026-05-19T15:56:00.189168+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-756f-7533-8305-e40022eb3cf5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:21.123504+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19930.77, "started_at": "2026-05-19T15:56:01.191112+00:00", "ended_at": "2026-05-19T15:56:21.121933+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..599584c28d30a085bc3943afc0c66753ef6eccfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c7a9c406148170f8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_c9b9c28d17f8d674/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f029c92d469bd90ae729e46f704c0d88083b1fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:48.165208+00:00", + "ended_at": "2026-05-19T16:04:51.254582+00:00", + "elapsed_ms": 3089.34, + "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_c9b9c28d17f8d674/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b5ed1ac305283be2c3a41267b889c80231f5c35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:52.257539+00:00", + "ended_at": "2026-05-19T16:04:58.257454+00:00", + "elapsed_ms": 5999.87, + "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_c9b9c28d17f8d674/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfcc0ea7ad18ccbf3131dd8a2f8c3cb8bdbf50d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/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=hypertension.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "hypertension", + "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\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_c9b9c28d17f8d674/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfcc0ea7ad18ccbf3131dd8a2f8c3cb8bdbf50d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/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=hypertension.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "hypertension", + "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\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_c9b9c28d17f8d674/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e3d03a4ef75394e5b348e8ae981377adf2a3bff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8ebf-7603-a1be-84356448fabf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_c9b9c28d17f8d674/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24b50e9f5864b87b79b2dd55f203537ed6a12267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8ebf-7603-a1be-84356448fabf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_c9b9c28d17f8d674/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea5f22e394681c16e9f4e6060207e4b6bc541283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-9ebe-76c0-a073-32b7ec85f927"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_c9b9c28d17f8d674/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..45a31332bb61ab4eb6d6bd4b5fb3a2b6f25f866b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-9ebe-76c0-a073-32b7ec85f927"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_c9b9c28d17f8d674/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/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_c9b9c28d17f8d674/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/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_c9f879af9b57fc7b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5149074c7a1603369bdd11c21bc5a03f6dba977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=smoking_status, condition_col=smoking_status. +Result preview: [{"smoking_status": "Unknown", "condition_ratio": 0.0}, {"smoking_status": "formerly smoked", "condition_ratio": null}, {"smoking_status": "never smoked", "condition_ratio": null}, {"smoking_status": "smokes", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7c4d5bdd82801628e28c57e4ad2c39df200381c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/generated_sql.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: m7 +-- 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_m7_c9f879af9b57fc7b +-- problem_id: v2p_m7_802acab7b667ec58 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoking_status", + SUM(CASE WHEN "smoking_status" = 'never smoked' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "smoking_status" = 'Unknown' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "smoking_status" +) +SELECT "smoking_status", + 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/m7/artifacts/v2q_m7_c9f879af9b57fc7b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f81f310533c61de729b309aeb0b08495787d2488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"smoking_status\", \"condition_ratio\"], \"rows\": [{\"smoking_status\": \"Unknown\", \"condition_ratio\": 0.0}, {\"smoking_status\": \"formerly smoked\", \"condition_ratio\": null}, {\"smoking_status\": \"never smoked\", \"condition_ratio\": null}, {\"smoking_status\": \"smokes\", \"condition_ratio\": null}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..62cbab3a3c7d4c35751c97526e0a54d073099ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:39:35.837830+00:00", + "ended_at": "2026-05-19T15:39:50.480913+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c9f879af9b57fc7b", + "problem_id": "v2p_m7_802acab7b667ec58", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=smoking_status, condition_col=smoking_status.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=38" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c9f879af9b57fc7b.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c086f1cd97711a0ad58d866dbf055374ad50653f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:50.476577+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14636.74, "started_at": "2026-05-19T15:39:35.838948+00:00", "ended_at": "2026-05-19T15:39:50.475717+00:00", "prompt_metrics": {"chars": 8518, "bytes_utf8": 8518, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e65bf28e24ce9b41c490a078e292a7321d90e4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9f879af9b57fc7b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_cc02c04f02909622/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b926b736893fdd28be2be8c27cf2881b877db620 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:29.409007+00:00", + "ended_at": "2026-05-19T16:08:36.800487+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_cc02c04f02909622", + "problem_id": "v2p_m7_480a24406c00ed22", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48fc08a03be3232485c4b2c0741a81b1797b11db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc02c04f02909622/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:32.489803+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3078.88, "started_at": "2026-05-19T16:08:29.410332+00:00", "ended_at": "2026-05-19T16:08:32.489236+00:00", "prompt_metrics": {"chars": 7774, "bytes_utf8": 7774, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-eee3-75f3-9c16-cf60506681d0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:36.800393+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3309.11, "started_at": "2026-05-19T16:08:33.490457+00:00", "ended_at": "2026-05-19T16:08:36.799597+00:00", "prompt_metrics": {"chars": 7774, "bytes_utf8": 7774, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-fec5-78b3-805c-eb727ed9c571\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc55a5a81fc4f6f7b770b5722b264aab903aae9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8249, "bytes_utf8": 8249, "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": 817, "bytes_utf8": 817, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14424, "cached_input_tokens": 13696, "output_tokens": 729, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..75076ee546704a55e91a133948fc6b28398fe6c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/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_cc21fd69662116ef", + "api_calls": 0, + "input_tokens": 14424, + "cached_input_tokens": 13696, + "output_tokens": 729, + "total_tokens": 15153, + "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": 17122.09, + "sql_execution_elapsed_ms_total": 3.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/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_cc21fd69662116ef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2bd51e0422f40e01327078e5002cace01ca3b9a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/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": "2026-05-19T15:48:58.919269+00:00", + "ended_at": "2026-05-19T15:49:16.041386+00:00", + "elapsed_ms": 17122.09, + "prompt_metrics": { + "chars": 8249, + "bytes_utf8": 8249, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1198, + "bytes_utf8": 1198, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 817, + "bytes_utf8": 817, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14424, + "cached_input_tokens": 13696, + "output_tokens": 729, + "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_cc21fd69662116ef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fa4ef6bae11f2e18de7f7504434502a3481ed7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/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=smoking_status, measure_col=avg_glucose_level.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "smoking_status", + "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": "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_cc21fd69662116ef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cdacd43e6f4b4a0c988913795bf2fa4a39aa3d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-12b3-7481-bed2-f10969fe086e"} +{"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 \\\"smoking_status\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"smoking_status\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n GROUP BY \\\"smoking_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"smoking_status\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". Cast the text measure to REAL and filtered blank group/measure values for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14424,"cached_input_tokens":13696,"output_tokens":729,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4515d44598458b9e19b921710c9173b082849b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"smoking_status\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS group_value\n FROM \"m7\"\n WHERE NULLIF(\"smoking_status\", '') IS NOT NULL\n AND NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n GROUP BY \"smoking_status\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"smoking_status\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the requested template with group_col=\"smoking_status\" and measure_col=\"avg_glucose_level\". Cast the text measure to REAL and filtered blank group/measure 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_cc21fd69662116ef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d9aff7f2a8f63a159a43a56ce8108d0a245d893 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:05:47.351691+00:00", + "ended_at": "2026-05-19T16:05:55.829681+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ce8368c9a4e3ab24", + "problem_id": "v2p_m7_1610c7fa3fef5324", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=work_type.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fba8f7330f4b76c7ad01dd5dc508f9057c2ea235 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ce8368c9a4e3ab24/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:51.243333+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3889.48, "started_at": "2026-05-19T16:05:47.352749+00:00", "ended_at": "2026-05-19T16:05:51.242260+00:00", "prompt_metrics": {"chars": 7654, "bytes_utf8": 7654, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-75e3-7011-b8b1-08087059596d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:55.829488+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3583.67, "started_at": "2026-05-19T16:05:52.244440+00:00", "ended_at": "2026-05-19T16:05:55.828150+00:00", "prompt_metrics": {"chars": 7654, "bytes_utf8": 7654, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-88fc-7780-950d-72ba5271109b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed0440488eb55c9a9378fd1fd8736576c723b2a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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": 787, "bytes_utf8": 787, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14490, "cached_input_tokens": 12032, "output_tokens": 535, "reasoning_output_tokens": 338}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c8792191fe7e41e553627e128efcb73628d4a88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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_cfe9ac8045db8000", + "api_calls": 0, + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 535, + "total_tokens": 15025, + "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": 14047.42, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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_cfe9ac8045db8000/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e1e4d6d0d8f8ee2a552f17c5e00899bea9aeae7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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": "2026-05-19T15:40:53.941046+00:00", + "ended_at": "2026-05-19T15:41:07.988499+00:00", + "elapsed_ms": 14047.42, + "prompt_metrics": { + "chars": 8495, + "bytes_utf8": 8495, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1152, + "bytes_utf8": 1152, + "lines": 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": 14490, + "cached_input_tokens": 12032, + "output_tokens": 535, + "reasoning_output_tokens": 338 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_cfe9ac8045db8000/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed729e5c10a57adeda9197800fea694278c94a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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": 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 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_cfe9ac8045db8000/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..746c31d26e37a9bd308dc5eb0a7c7fb9a209addf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-ac3c-7e21-af4a-78307a23fd92"} +{"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 grouped-ratio template with group_col and condition_col both bound to \\\"work_type\\\". Because the grouping column matches the conditioned column, ratios will be 0 or NULL for most groups; NULLIF preserves SQLite compatibility by avoiding division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14490,"cached_input_tokens":12032,"output_tokens":535,"reasoning_output_tokens":338}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86087c571398b68aa8216771aaa9417fd93a7b82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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 grouped-ratio template with group_col and condition_col both bound to \"work_type\". Because the grouping column matches the conditioned column, ratios will be 0 or NULL for most groups; NULLIF preserves SQLite compatibility by avoiding 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_cfe9ac8045db8000/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/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_d181dfb12e1102f6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce46353798dcd1d6791753f61d54cd62d7c7b3d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7830, "bytes_utf8": 7830, "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": 875, "bytes_utf8": 875, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 12032, "output_tokens": 1428, "reasoning_output_tokens": 1173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f55d3f46b637e592da2a8d838d8e6e0f58d7f050 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/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_d181dfb12e1102f6", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 12032, + "output_tokens": 1428, + "total_tokens": 15743, + "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": 25591.94, + "sql_execution_elapsed_ms_total": 11.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/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_d181dfb12e1102f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dd46d3335a1ce49dbee77c1ed0f2bb12d8747d0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/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": "2026-05-19T15:50:33.707974+00:00", + "ended_at": "2026-05-19T15:50:59.299937+00:00", + "elapsed_ms": 25591.94, + "prompt_metrics": { + "chars": 7830, + "bytes_utf8": 7830, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1308, + "bytes_utf8": 1308, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 875, + "bytes_utf8": 875, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 12032, + "output_tokens": 1428, + "reasoning_output_tokens": 1173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d181dfb12e1102f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..000950cd3ba956c7d72aef8b616779649f437096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/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=work_type, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "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},\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_d181dfb12e1102f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..41817604abc63ebe6160ca3d8fb775eafafdfb01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-84e9-7e50-b922-fbe10eda75d8"} +{"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 \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"work_type\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\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)\\nSELECT\\n \\\"work_type\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.95\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible grouped 95th-percentile proxy via CUME_DIST and returns the smallest casted numeric \\\"id\\\" value at or above the 0.95 cumulative distribution within each \\\"work_type\\\" group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":12032,"output_tokens":1428,"reasoning_output_tokens":1173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a686a7d205ec75e8625ff3080eaaab9d394ee6ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/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 \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"work_type\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"cume_dist_value\"\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)\nSELECT\n \"work_type\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist_value\" >= 0.95\nGROUP BY \"work_type\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible grouped 95th-percentile proxy via CUME_DIST and returns the smallest casted numeric \"id\" value at or above the 0.95 cumulative distribution within each \"work_type\" group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..192516d2a400599a14893abec6c2987de0bbb529 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "1", "avg_measure": 30.471291866028707}, {"stroke": "0", "avg_measure": 28.823063829787234}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c1f6ed94a40f63dd2dc900b51c0b4cef484da6b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/generated_sql.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: m7 +-- 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_m7_d1c17a4c35a64bc8 +-- problem_id: v2p_m7_65e7be876a2296ec +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "stroke", + AVG(CAST(NULLIF("bmi", '') AS REAL)) OVER (PARTITION BY "stroke") AS avg_measure +FROM "m7" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb9ab203554fa2b87e1b265f51a181069f114793 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stroke\", \"avg_measure\"], \"rows\": [{\"stroke\": \"1\", \"avg_measure\": 30.471291866028707}, {\"stroke\": \"0\", \"avg_measure\": 28.823063829787234}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..70fa6b2495ee7a784659d3a254d7d0296abc3ee7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:07:35.171806+00:00", + "ended_at": "2026-05-19T16:07:49.314737+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d1c17a4c35a64bc8", + "problem_id": "v2p_m7_65e7be876a2296ec", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=stroke, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d1c17a4c35a64bc8.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd59952fcfc8da772f1cacf2e2c178e0ca3b9726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:38.599903+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3425.73, "started_at": "2026-05-19T16:07:35.173414+00:00", "ended_at": "2026-05-19T16:07:38.599173+00:00", "prompt_metrics": {"chars": 7725, "bytes_utf8": 7725, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-1af4-7110-b7e7-d9a1be26f42b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:49.304403+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9702.6, "started_at": "2026-05-19T16:07:39.601039+00:00", "ended_at": "2026-05-19T16:07:49.303664+00:00", "prompt_metrics": {"chars": 7725, "bytes_utf8": 7725, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9dde96ab5ac6070017e23946a352564cc42a49f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d1c17a4c35a64bc8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_d3a238c7a187a6cb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa7b2e6ba42362f4761cc74ade67866afeb446d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Yes", "support": 3353, "support_share": 0.6561643835616439, "support_rank": 1}, {"value_label": "No", "support": 1757, "support_share": 0.34383561643835614, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..07407453b461a80557d3ca8d358ed348b98c0639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/generated_sql.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: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_d3a238c7a187a6cb +-- problem_id: v2p_m7_0b9fe92af68dcc33 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ever_married" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "ever_married" +) +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/m7/artifacts/v2q_m7_d3a238c7a187a6cb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e700a01e6de6545c5dc5daf25a8e936272adc059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_d3a238c7a187a6cb\n-- problem_id: v2p_m7_0b9fe92af68dcc33\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ever_married\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"ever_married\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_d3a238c7a187a6cb\\n-- problem_id: v2p_m7_0b9fe92af68dcc33\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ever_married\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"ever_married\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Yes\", \"support\": 3353, \"support_share\": 0.6561643835616439, \"support_rank\": 1}, {\"value_label\": \"No\", \"support\": 1757, \"support_share\": 0.34383561643835614, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..40b004e6cb093308911abe683d912818383d3ee3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.888928+00:00", + "ended_at": "2026-05-19T16:09:16.891002+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d3a238c7a187a6cb", + "problem_id": "v2p_m7_0b9fe92af68dcc33", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=ever_married.", + "bindings": { + "group_col": "ever_married" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d3a238c7a187a6cb.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d3a238c7a187a6cb/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6764376ff77c128a6813cf1d63098796bbccb4ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:07:49.315350+00:00", + "ended_at": "2026-05-19T16:07:57.182980+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d46a1f2d80952cc5", + "problem_id": "v2p_m7_ad4c59c9f77832ad", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=stroke, measure_col=bmi.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e491822888b8bfc7e054a108d3aaf4ef7296e2b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d46a1f2d80952cc5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:52.456563+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3139.08, "started_at": "2026-05-19T16:07:49.316436+00:00", "ended_at": "2026-05-19T16:07:52.455543+00:00", "prompt_metrics": {"chars": 7730, "bytes_utf8": 7730, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-5244-7f03-9dfe-0e69a66f59cf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:57.182888+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3724.68, "started_at": "2026-05-19T16:07:53.457422+00:00", "ended_at": "2026-05-19T16:07:57.182133+00:00", "prompt_metrics": {"chars": 7730, "bytes_utf8": 7730, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-6274-7130-88cd-9971718ac6d9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..98ace9413dc7e431808f4bdb21764b2fbc410c4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Residence_type, condition_col=Residence_type. +Result preview: [{"Residence_type": "Rural", "condition_ratio": 0.0}, {"Residence_type": "Urban", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f3cc9472f00d36eeeb28f9cc4971701f4425b14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/generated_sql.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: m7 +-- 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_m7_d4a0a662a8b44262 +-- problem_id: v2p_m7_ea78088518da1235 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Residence_type", + SUM(CASE WHEN "Residence_type" = 'Urban' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Residence_type" = 'Rural' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "Residence_type" +) +SELECT "Residence_type", + 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/m7/artifacts/v2q_m7_d4a0a662a8b44262/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e047c8ca2c7488f6fb0581decbcf671256d920df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"Residence_type\", \"condition_ratio\"], \"rows\": [{\"Residence_type\": \"Rural\", \"condition_ratio\": 0.0}, {\"Residence_type\": \"Urban\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cf4ffc8a1214b34ef0bca797511cc268ea6c4a52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:39:21.964687+00:00", + "ended_at": "2026-05-19T15:39:35.837187+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d4a0a662a8b44262", + "problem_id": "v2p_m7_ea78088518da1235", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Residence_type, condition_col=Residence_type.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=37" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d4a0a662a8b44262.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca7636f696272a89a563d0becbf01e1b94d01ac7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:35.832519+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13865.62, "started_at": "2026-05-19T15:39:21.965769+00:00", "ended_at": "2026-05-19T15:39:35.831419+00:00", "prompt_metrics": {"chars": 8499, "bytes_utf8": 8499, "lines": 243, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5f9498a3b1c177f4ac837e21bf0b56a108c3fe1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d4a0a662a8b44262/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_d53b176e96b7e699/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..00127e79dd0537c7a70abbf73843521a55a17e24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:09.104604+00:00", + "ended_at": "2026-05-19T16:09:12.384235+00:00", + "elapsed_ms": 3279.61, + "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_d53b176e96b7e699/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cf8c3d5a4a23520961dca8fedfc622cabf2bcee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:13.386306+00:00", + "ended_at": "2026-05-19T16:09:16.805118+00:00", + "elapsed_ms": 3418.77, + "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_d53b176e96b7e699/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7672497b04ea72032a43cb0fa98267cdbea17c3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/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": 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 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_d53b176e96b7e699/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7672497b04ea72032a43cb0fa98267cdbea17c3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/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": 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 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_d53b176e96b7e699/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..609101d2d2e14ceb718d8844b558afe3096b5e28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-89e2-71c1-b3d2-b5b7f6a18001"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d53b176e96b7e699/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10efb8339d11dae2831abde0fffbaf7674cceab4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-89e2-71c1-b3d2-b5b7f6a18001"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d53b176e96b7e699/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b7082b4640e2ce0419727d2bb81516d898e016a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-9ab6-7e22-b572-e2e4588fdf88"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d53b176e96b7e699/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cc40f44831eabdf5e3a00db883b556aab5d4a73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-9ab6-7e22-b572-e2e4588fdf88"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d53b176e96b7e699/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/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_d53b176e96b7e699/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/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_d59985bcb08eb7d7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f824b1dcfea0ee316ae6f1dede733652332b025a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "never smoked", "support": 1892, "support_share": 0.37025440313111546, "cumulative_support": 1892}, {"value_label": "Unknown", "support": 1544, "support_share": 0.3021526418786693, "cumulative_support": 3436}, {"value_label": "formerly smoked", "support": 885, "support_share": 0.17318982387475537, "cumulative_support": 4321}, {"value_label": "smokes", "support": 789, "support_share": 0.1544031311154599, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2ea092232c71fad228a9fe31c2c18bf344094b5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_d59985bcb08eb7d7 +-- problem_id: v2p_m7_546de7bb88583334 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoking_status" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "smoking_status" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..619f7fe705fabe4a09eae1fd7f25564f22ecf13c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_d59985bcb08eb7d7\n-- problem_id: v2p_m7_546de7bb88583334\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"smoking_status\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"smoking_status\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_d59985bcb08eb7d7\\n-- problem_id: v2p_m7_546de7bb88583334\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"smoking_status\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"smoking_status\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"never smoked\", \"support\": 1892, \"support_share\": 0.37025440313111546, \"cumulative_support\": 1892}, {\"value_label\": \"Unknown\", \"support\": 1544, \"support_share\": 0.3021526418786693, \"cumulative_support\": 3436}, {\"value_label\": \"formerly smoked\", \"support\": 885, \"support_share\": 0.17318982387475537, \"cumulative_support\": 4321}, {\"value_label\": \"smokes\", \"support\": 789, \"support_share\": 0.1544031311154599, \"cumulative_support\": 5110}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e564b203ac5db3a61c19a158b98c33b56ed9b3c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.875737+00:00", + "ended_at": "2026-05-19T16:09:16.878236+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d59985bcb08eb7d7", + "problem_id": "v2p_m7_546de7bb88583334", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=smoking_status.", + "bindings": { + "group_col": "smoking_status" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d59985bcb08eb7d7.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d59985bcb08eb7d7/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6e4d018c4c4903696a61fd169b801991698c9836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:03:25.378357+00:00", + "ended_at": "2026-05-19T16:03:33.318731+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d60d702a94e00fa1", + "problem_id": "v2p_m7_782d2a88c1279373", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=114" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d803f8babbdc5a8a3e2a953e3557ae107d2687a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d60d702a94e00fa1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:28.780736+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3400.33, "started_at": "2026-05-19T16:03:25.379227+00:00", "ended_at": "2026-05-19T16:03:28.779584+00:00", "prompt_metrics": {"chars": 7615, "bytes_utf8": 7615, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-4b47-71c1-804d-ecce502841b7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:33.318631+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3535.98, "started_at": "2026-05-19T16:03:29.781845+00:00", "ended_at": "2026-05-19T16:03:33.317856+00:00", "prompt_metrics": {"chars": 7615, "bytes_utf8": 7615, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-5c97-7373-9264-1bef118ed01f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2ae25c66843855abb4c53495e6451d061474e16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "1", "avg_glucose_level": "74.9", "total_measure": 146.0, "share_within_group": 0.4709981289115427}, {"hypertension": "1", "avg_glucose_level": "205.23", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "60.98", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "91.85", "total_measure": 139.0, "share_within_group": 0.4484160268404413}, {"hypertension": "1", "avg_glucose_level": "90.77", "total_measure": 137.0, "share_within_group": 0.4419639976772695}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..747ded912eecdcf4dca1719497c20bcd38ebe870 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/generated_sql.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: m7 +-- 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_m7_d8ed040927b1d9ba +-- problem_id: v2p_m7_c0c7cd9731eaf85b +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", "avg_glucose_level", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +WHERE "hypertension" IS NOT NULL AND "hypertension" <> '' + AND "avg_glucose_level" IS NOT NULL AND "avg_glucose_level" <> '' + AND "age" IS NOT NULL AND "age" <> '' +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05799835a9898f89e1773b8752006f683f95ee5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hypertension\", \"avg_glucose_level\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"hypertension\": \"1\", \"avg_glucose_level\": \"74.9\", \"total_measure\": 146.0, \"share_within_group\": 0.4709981289115427}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"205.23\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"60.98\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"91.85\", \"total_measure\": 139.0, \"share_within_group\": 0.4484160268404413}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"90.77\", \"total_measure\": 137.0, \"share_within_group\": 0.4419639976772695}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"109.51\", \"total_measure\": 130.0, \"share_within_group\": 0.4193818956061681}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"78.68\", \"total_measure\": 129.0, \"share_within_group\": 0.41615588102458223}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.04\", \"total_measure\": 124.0, \"share_within_group\": 0.40002580811665267}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"97.06\", \"total_measure\": 121.0, \"share_within_group\": 0.39034776437189495}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"79.79\", \"total_measure\": 118.0, \"share_within_group\": 0.3806697206271372}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"101.56\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"107.21\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.71\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"196.92\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"215.94\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"222.52\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"227.28\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"61.47\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"62.46\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"71.97\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"73.19\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.32\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"84.03\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"117.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"126.34\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"164.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"174.54\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"181.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"216.07\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"217.94\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"220.64\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"231.19\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"250.89\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"58.71\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.11\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.28\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"74.02\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"80.43\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"103.6\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"114.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.52\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"125.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"175.29\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"178.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.96\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"213.33\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"218\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"232.12\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"240.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..de039c7f65009fb93328f2bd0fae3f80cd4f2807 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:38:28.414601+00:00", + "ended_at": "2026-05-19T15:38:42.836345+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d8ed040927b1d9ba", + "problem_id": "v2p_m7_c0c7cd9731eaf85b", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=hypertension, measure_col=age.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d8ed040927b1d9ba.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d90a21fb3eb8557861cf992939570a8f431630f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:42.817052+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14400.58, "started_at": "2026-05-19T15:38:28.415677+00:00", "ended_at": "2026-05-19T15:38:42.816282+00:00", "prompt_metrics": {"chars": 8077, "bytes_utf8": 8077, "lines": 242, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8fe75a21af14dbe8c8ecb4e6982c107b1f7be322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d8ed040927b1d9ba/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_dc4011a1f7028e95/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98b856af35eb79fc5724ca61e7d07c2140bf3592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7989, "bytes_utf8": 7989, "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": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14379, "cached_input_tokens": 13696, "output_tokens": 420, "reasoning_output_tokens": 298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..08deb05aa1b44c02d0f5c071c559b037cc0b06c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/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_dc4011a1f7028e95", + "api_calls": 0, + "input_tokens": 14379, + "cached_input_tokens": 13696, + "output_tokens": 420, + "total_tokens": 14799, + "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": 10559.53, + "sql_execution_elapsed_ms_total": 3.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/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_dc4011a1f7028e95/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..206d078b0f23b1f20a5b0b9a69f8bbd16ad315dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:08.002003+00:00", + "ended_at": "2026-05-19T15:41:18.561580+00:00", + "elapsed_ms": 10559.53, + "prompt_metrics": { + "chars": 7989, + "bytes_utf8": 7989, + "lines": 244, + "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": 422, + "bytes_utf8": 422, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14379, + "cached_input_tokens": 13696, + "output_tokens": 420, + "reasoning_output_tokens": 298 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_dc4011a1f7028e95/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..915055a43f1235f68d4258d804432ca405695bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/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=ever_married, group_col_2=smoking_status.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "ever_married", + "group_col_2": "smoking_status", + "predicate_col": "id", + "predicate_op": ">=", + "predicate_value": 54682.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_dc4011a1f7028e95/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2b99a79bb7ede6fc7628aa1d41e6e3c5157fe36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-e33b-7441-b656-85682c2d6b69"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ever_married\\\", \\\"smoking_status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 54682.0\\nGROUP BY \\\"ever_married\\\", \\\"smoking_status\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required template with bound roles. CAST(\\\"id\\\" AS REAL) is applied because the schema stores \\\"id\\\" as TEXT, but the predicate value is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14379,"cached_input_tokens":13696,"output_tokens":420,"reasoning_output_tokens":298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b87c546e2fdd522a54b485649e9f76406f1ff92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"ever_married\", \"smoking_status\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nWHERE CAST(\"id\" AS REAL) >= 54682.0\nGROUP BY \"ever_married\", \"smoking_status\"\nORDER BY \"row_count\" DESC;","notes":"Used the required template with bound roles. CAST(\"id\" AS REAL) is applied because the schema stores \"id\" as TEXT, but the predicate value is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..94c59372b6ee7180922ccfab96f85fb44be6e977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Private", "group_value": 2925}, {"work_type": "Self-employed", "group_value": 819}, {"work_type": "children", "group_value": 687}, {"work_type": "Govt_job", "group_value": 657}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..572bc4bc3f113638b46ad17a9d3acee898c86401 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- 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_m7_ddd2f4c83387d847 +-- problem_id: v2p_m7_6ac10830c1fe7db3 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "work_type", COUNT("id") AS "group_value" + FROM "m7" + GROUP BY "work_type" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."work_type", 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/m7/artifacts/v2q_m7_ddd2f4c83387d847/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb853f79d56792e385a4d86b6f6ff01f1103e972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"group_value\"], \"rows\": [{\"work_type\": \"Private\", \"group_value\": 2925}, {\"work_type\": \"Self-employed\", \"group_value\": 819}, {\"work_type\": \"children\", \"group_value\": 687}, {\"work_type\": \"Govt_job\", \"group_value\": 657}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..21c12f20e99654ef9bd61911491a0531345563e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:48:00.982761+00:00", + "ended_at": "2026-05-19T15:48:14.593710+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ddd2f4c83387d847", + "problem_id": "v2p_m7_6ac10830c1fe7db3", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ddd2f4c83387d847.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..898c23c365f6d016ba6dfcab96af180048a19dba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:14.589772+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13604.75, "started_at": "2026-05-19T15:48:00.984118+00:00", "ended_at": "2026-05-19T15:48:14.588902+00:00", "prompt_metrics": {"chars": 8205, "bytes_utf8": 8205, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0cda11bea70ee8f1aa1258ba044b89854a651922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ddd2f4c83387d847/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_de843eb43252a09d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cdc9b24a17578f6ef198d2e8c3ea8662c20fddc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 5110, "missing_rows": 0, "missing_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_de843eb43252a09d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..418fcff403090c77e4b524df6638f7a319fa58a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/generated_sql.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: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_m7_de843eb43252a09d +-- problem_id: v2p_m7_6b728b070d461482 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0764752e3f1d442f005064c684c401cf9830dae4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_m7_de843eb43252a09d\n-- problem_id: v2p_m7_6b728b070d461482\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_m7_de843eb43252a09d\\n-- problem_id: v2p_m7_6b728b070d461482\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 5110, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ebe17cb34b1051bf59a2f1d7c6a0290591614553 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.806263+00:00", + "ended_at": "2026-05-19T16:09:16.809130+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_de843eb43252a09d", + "problem_id": "v2p_m7_6b728b070d461482", + "dataset_id": "m7", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=bmi.", + "bindings": { + "missing_col": "bmi" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_de843eb43252a09d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_de843eb43252a09d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b0d59d2a66e25d42f2c50603d5ae707b88f1524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8472, "bytes_utf8": 8472, "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": 668, "bytes_utf8": 668, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14485, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f1a7cb7e31992c8ee9841e1d25ce6ec1fb734a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/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_deda9bb27b676502", + "api_calls": 0, + "input_tokens": 14485, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 14866, + "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": 12090.11, + "sql_execution_elapsed_ms_total": 2.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/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_deda9bb27b676502/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..087f60d5b4147741a08fa4cf569e25c1e8340d90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/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": "2026-05-19T15:40:03.101695+00:00", + "ended_at": "2026-05-19T15:40:15.191835+00:00", + "elapsed_ms": 12090.11, + "prompt_metrics": { + "chars": 8472, + "bytes_utf8": 8472, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1037, + "bytes_utf8": 1037, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 668, + "bytes_utf8": 668, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14485, + "cached_input_tokens": 12032, + "output_tokens": 381, + "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_deda9bb27b676502/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f6d389928affd2d06e6ddb73fa1540a954aa77f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/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=gender, condition_col=gender.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Female", + "positive_value": "Female", + "negative_value": "Male", + "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},\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_deda9bb27b676502/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f51cc8f0c13263112c942843ccc8cfc8814b32bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-e59b-7bb2-88a5-285131f1af86"} +{"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 \\\"gender\\\",\\n SUM(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"gender\\\" = 'Male' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n)\\nSELECT \\\"gender\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped ratio template with group_col=\\\"gender\\\" and condition_col=\\\"gender\\\", using 'Female' as the numerator condition and 'Male' as the denominator condition.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14485,"cached_input_tokens":12032,"output_tokens":381,"reasoning_output_tokens":208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be3ce1ca2b92ae549e79ee7567a893d5a08ed479 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"gender\",\n SUM(CASE WHEN \"gender\" = 'Female' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"gender\" = 'Male' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"gender\"\n)\nSELECT \"gender\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided grouped ratio template with group_col=\"gender\" and condition_col=\"gender\", using 'Female' as the numerator condition and 'Male' as the denominator condition."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/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_df0a022e597fc63d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..afe775b697835af6d3c35801d71e2c80c9385a04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/generated_sql.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: m7 +-- 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_m7_df0a022e597fc63d +-- problem_id: v2p_m7_48d515cc3124e420 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "id", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m7" +GROUP BY "id" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a8d480142a80c65b311a4da36b57975323094a11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_df0a022e597fc63d\n-- problem_id: v2p_m7_48d515cc3124e420\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"id\",\n COUNT(*) AS support,\n AVG(\"bmi\") AS avg_response\nFROM \"m7\"\nGROUP BY \"id\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_df0a022e597fc63d\\n-- problem_id: v2p_m7_48d515cc3124e420\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"id\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bmi\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"id\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"id\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b1250762f191b83aeb1edb8e7b565f22b701664b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.911069+00:00", + "ended_at": "2026-05-19T16:09:16.914977+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_df0a022e597fc63d", + "problem_id": "v2p_m7_48d515cc3124e420", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=id.", + "bindings": { + "key_col": "id", + "measure_col": "bmi", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df0a022e597fc63d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df0a022e597fc63d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c5378c196eb22e068e8de57dc6fea0f9da942f2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/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": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "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_df39f1f88b6adb30/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5bf70168c4f4c0a9a973a290573835de3f2106ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/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_df39f1f88b6adb30", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 14752, + "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": 10961.53, + "sql_execution_elapsed_ms_total": 10.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/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_df39f1f88b6adb30/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..752b120afa1909e4debda743e8e43a95eed69c42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:58.128567+00:00", + "ended_at": "2026-05-19T16:09:09.090121+00:00", + "elapsed_ms": 10961.53, + "prompt_metrics": { + "chars": 7737, + "bytes_utf8": 7737, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 812, + "bytes_utf8": 812, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 450, + "bytes_utf8": 450, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14289, + "cached_input_tokens": 12032, + "output_tokens": 463, + "reasoning_output_tokens": 347 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_df39f1f88b6adb30/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c40aa32ad48ef4d360aef003c716b425ca03d69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/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_dff335af3a7578ee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6862aebeaee3ce6cc83af8b5509cc7e00487243 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"heart_disease": "0", "total_rows": 4834, "missing_rows": 0, "missing_rate": 0.0}, {"heart_disease": "1", "total_rows": 276, "missing_rows": 0, "missing_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_dff335af3a7578ee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee24cb95b45328b9f0a4bc36e408fbdf0953a042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/generated_sql.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: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_dff335af3a7578ee +-- problem_id: v2p_m7_3e264c1ff2265806 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "heart_disease", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08c6ccbb4a0970da058648fdf3387928a61f0467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_dff335af3a7578ee\n-- problem_id: v2p_m7_3e264c1ff2265806\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"heart_disease\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_dff335af3a7578ee\\n-- problem_id: v2p_m7_3e264c1ff2265806\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"heart_disease\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"heart_disease\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"heart_disease\": \"0\", \"total_rows\": 4834, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"heart_disease\": \"1\", \"total_rows\": 276, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..18125a150194377143391bd6506a14eea4da56d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.816378+00:00", + "ended_at": "2026-05-19T16:09:16.819027+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_dff335af3a7578ee", + "problem_id": "v2p_m7_3e264c1ff2265806", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=heart_disease, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "heart_disease" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dff335af3a7578ee.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dff335af3a7578ee/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1487244fc3b751ed0815e0fc79565d9f85e43ecc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:41.197608+00:00", + "ended_at": "2026-05-19T16:04:44.272183+00:00", + "elapsed_ms": 3074.54, + "returncode": 1, + "prompt_metrics": { + "chars": 7655, + "bytes_utf8": 7655, + "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_e08b916dffebc4ca/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2739bc9622a78b6e65912ee1b7892957c1f9a7e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:45.274198+00:00", + "ended_at": "2026-05-19T16:04:48.162896+00:00", + "elapsed_ms": 2888.66, + "returncode": 1, + "prompt_metrics": { + "chars": 7655, + "bytes_utf8": 7655, + "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_e08b916dffebc4ca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4819030adf7f40e4de26e392b45ff1cb9f38133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/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=hypertension.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "hypertension", + "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\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_e08b916dffebc4ca/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4819030adf7f40e4de26e392b45ff1cb9f38133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/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=hypertension.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "hypertension", + "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\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_e08b916dffebc4ca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83179443bb0e8fd8893cb6737a0ae9068b65c083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7364-7372-9766-8671bcbe6405"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e08b916dffebc4ca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ead4ad4307631851915acf26fb62f6731fe3c6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7364-7372-9766-8671bcbe6405"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_e08b916dffebc4ca/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf70ce955c65ffe850b56e12afa61cdef21a1ebf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-837a-7250-af31-fd05e8a575a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e08b916dffebc4ca/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..99cdeabd20947c983fa886f5ffff01ad6287110e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-837a-7250-af31-fd05e8a575a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_e08b916dffebc4ca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/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_e08b916dffebc4ca/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/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_e289d2b2ea093970/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffef5128e5205a489c31105648bfb00b5879597f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bmi": "", "support": 201, "avg_response": 23171.109452736317}, {"bmi": "28.7", "support": 41, "avg_response": 39226.0243902439}, {"bmi": "28.4", "support": 38, "avg_response": 32228.78947368421}, {"bmi": "26.1", "support": 37, "avg_response": 41311.16216216216}, {"bmi": "27.7", "support": 37, "avg_response": 38739.18918918919}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..93ffbfa2ea95575e58bfd1a2d32b8b292df7d90b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/generated_sql.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: m7 +-- 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_m7_e289d2b2ea093970 +-- problem_id: v2p_m7_c9f1fcbe51ba12f4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "m7" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e1ece96accaeb2c53046178552293c079c91f97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_e289d2b2ea093970\n-- problem_id: v2p_m7_c9f1fcbe51ba12f4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bmi\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"m7\"\nGROUP BY \"bmi\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_e289d2b2ea093970\\n-- problem_id: v2p_m7_c9f1fcbe51ba12f4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bmi\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"bmi\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"bmi\", \"support\", \"avg_response\"], \"rows\": [{\"bmi\": \"\", \"support\": 201, \"avg_response\": 23171.109452736317}, {\"bmi\": \"28.7\", \"support\": 41, \"avg_response\": 39226.0243902439}, {\"bmi\": \"28.4\", \"support\": 38, \"avg_response\": 32228.78947368421}, {\"bmi\": \"26.1\", \"support\": 37, \"avg_response\": 41311.16216216216}, {\"bmi\": \"27.7\", \"support\": 37, \"avg_response\": 38739.18918918919}, {\"bmi\": \"27.6\", \"support\": 37, \"avg_response\": 38415.13513513513}, {\"bmi\": \"26.7\", \"support\": 37, \"avg_response\": 33784.89189189189}, {\"bmi\": \"23.4\", \"support\": 36, \"avg_response\": 39514.47222222222}, {\"bmi\": \"27.3\", \"support\": 36, \"avg_response\": 37194.833333333336}, {\"bmi\": \"27\", \"support\": 35, \"avg_response\": 34395.857142857145}, {\"bmi\": \"26.4\", \"support\": 34, \"avg_response\": 40140.14705882353}, {\"bmi\": \"26.9\", \"support\": 34, \"avg_response\": 36827.5}, {\"bmi\": \"25.1\", \"support\": 34, \"avg_response\": 34498.05882352941}, {\"bmi\": \"25.5\", \"support\": 33, \"avg_response\": 32877.606060606064}, {\"bmi\": \"28.9\", \"support\": 31, \"avg_response\": 41251.354838709674}, {\"bmi\": \"23.5\", \"support\": 31, \"avg_response\": 40258.83870967742}, {\"bmi\": \"24.8\", \"support\": 31, \"avg_response\": 36696.93548387097}, {\"bmi\": \"30.3\", \"support\": 30, \"avg_response\": 46178.36666666667}, {\"bmi\": \"28.3\", \"support\": 30, \"avg_response\": 40257.76666666667}, {\"bmi\": \"22.2\", \"support\": 30, \"avg_response\": 38086.0}, {\"bmi\": \"29.4\", \"support\": 30, \"avg_response\": 37145.566666666666}, {\"bmi\": \"26.5\", \"support\": 30, \"avg_response\": 34642.833333333336}, {\"bmi\": \"31.4\", \"support\": 30, \"avg_response\": 33982.5}, {\"bmi\": \"27.5\", \"support\": 29, \"avg_response\": 41179.8275862069}, {\"bmi\": \"24.2\", \"support\": 29, \"avg_response\": 39898.51724137931}, {\"bmi\": \"29.1\", \"support\": 29, \"avg_response\": 35942.03448275862}, {\"bmi\": \"28.1\", \"support\": 29, \"avg_response\": 34566.89655172414}, {\"bmi\": \"26.6\", \"support\": 29, \"avg_response\": 30113.206896551725}, {\"bmi\": \"25.3\", \"support\": 28, \"avg_response\": 49563.28571428572}, {\"bmi\": \"24.1\", \"support\": 28, \"avg_response\": 40517.75}, {\"bmi\": \"32.3\", \"support\": 28, \"avg_response\": 40248.07142857143}, {\"bmi\": \"24\", \"support\": 28, \"avg_response\": 40109.107142857145}, {\"bmi\": \"28\", \"support\": 28, \"avg_response\": 38006.21428571428}, {\"bmi\": \"27.1\", \"support\": 28, \"avg_response\": 35607.07142857143}, {\"bmi\": \"27.9\", \"support\": 28, \"avg_response\": 31655.428571428572}, {\"bmi\": \"31.5\", \"support\": 27, \"avg_response\": 43717.333333333336}, {\"bmi\": \"23\", \"support\": 27, \"avg_response\": 40400.88888888889}, {\"bmi\": \"26.2\", \"support\": 27, \"avg_response\": 37384.666666666664}, {\"bmi\": \"25\", \"support\": 27, \"avg_response\": 37298.22222222222}, {\"bmi\": \"30\", \"support\": 27, \"avg_response\": 37164.333333333336}, {\"bmi\": \"28.6\", \"support\": 27, \"avg_response\": 36897.96296296296}, {\"bmi\": \"24.9\", \"support\": 27, \"avg_response\": 36707.18518518518}, {\"bmi\": \"29.7\", \"support\": 27, \"avg_response\": 33805.444444444445}, {\"bmi\": \"30.9\", \"support\": 27, \"avg_response\": 33531.22222222222}, {\"bmi\": \"28.5\", \"support\": 27, \"avg_response\": 33495.2962962963}, {\"bmi\": \"21.5\", \"support\": 27, \"avg_response\": 30645.0}, {\"bmi\": \"29.2\", \"support\": 26, \"avg_response\": 44435.692307692305}, {\"bmi\": \"25.4\", \"support\": 26, \"avg_response\": 41921.192307692305}, {\"bmi\": \"29.5\", \"support\": 26, \"avg_response\": 39896.807692307695}, {\"bmi\": \"31.1\", \"support\": 26, \"avg_response\": 39192.53846153846}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c24024714a8ac70f4ee4d98e5921284503c8afe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.939964+00:00", + "ended_at": "2026-05-19T16:09:16.943452+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e289d2b2ea093970", + "problem_id": "v2p_m7_c9f1fcbe51ba12f4", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=bmi.", + "bindings": { + "key_col": "bmi", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e289d2b2ea093970.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e289d2b2ea093970/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e9885ca30f825deb92fe6f18a631066009776b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7871, "bytes_utf8": 7871, "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": 1883, "bytes_utf8": 1883, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14324, "cached_input_tokens": 13696, "output_tokens": 3491, "reasoning_output_tokens": 2825}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..235ecc39cd414f2f433de32f37fa7685b80e77be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/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_e2f329879d8e6a81", + "api_calls": 0, + "input_tokens": 14324, + "cached_input_tokens": 13696, + "output_tokens": 3491, + "total_tokens": 17815, + "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": 47024.4, + "sql_execution_elapsed_ms_total": 25.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/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_e2f329879d8e6a81/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..52adb774f2ba7e0d781313f048042deb2c6af7ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/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": "2026-05-19T15:53:25.520064+00:00", + "ended_at": "2026-05-19T15:54:12.544498+00:00", + "elapsed_ms": 47024.4, + "prompt_metrics": { + "chars": 7871, + "bytes_utf8": 7871, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2535, + "bytes_utf8": 2535, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1883, + "bytes_utf8": 1883, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14324, + "cached_input_tokens": 13696, + "output_tokens": 3491, + "reasoning_output_tokens": 2825 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e2f329879d8e6a81/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5510a462464472aadd0ac76ce90806788bbf02b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/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=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": 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},\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_e2f329879d8e6a81/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aefb781caa17d01eb80497c4fc6c8c6fc3b74a00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-2434-7b30-9dff-ab6550256260"} +{"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 \\\"smoking_status\\\" AS \\\"group_col\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"smoking_status\\\" IS NOT NULL\\n AND \\\"smoking_status\\\" <> ''\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n 1.0 + 0.9 * (\\\"n\\\" - 1) AS \\\"h\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) AS \\\"lo_rn\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) > CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"group_col\\\",\\n p.\\\"h\\\",\\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 \\\"params\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n GROUP BY\\n p.\\\"group_col\\\",\\n p.\\\"h\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"smoking_status\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"h\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.9) in SQLite with window functions and linear interpolation, casting \\\"avg_glucose_level\\\" from TEXT to REAL, excluding blank values, and retaining groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14324,"cached_input_tokens":13696,"output_tokens":3491,"reasoning_output_tokens":2825}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e624040b18bbbd0a5394e5351cfd2b9f8153341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"smoking_status\" AS \"group_col\",\n CAST(\"avg_glucose_level\" AS REAL) AS \"measure\"\n FROM \"m7\"\n WHERE \"smoking_status\" IS NOT NULL\n AND \"smoking_status\" <> ''\n AND \"avg_glucose_level\" IS NOT NULL\n AND \"avg_glucose_level\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"group_col\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_col\") AS \"n\"\n FROM \"base\"\n),\n\"params\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"n\",\n 1.0 + 0.9 * (\"n\" - 1) AS \"h\",\n CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) AS \"lo_rn\",\n CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) + CASE\n WHEN (1.0 + 0.9 * (\"n\" - 1)) > CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) THEN 1\n ELSE 0\n END AS \"hi_rn\"\n FROM \"ranked\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n p.\"group_col\",\n p.\"h\",\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 \"params\" AS p\n JOIN \"ranked\" AS r\n ON r.\"group_col\" = p.\"group_col\"\n GROUP BY\n p.\"group_col\",\n p.\"h\",\n p.\"lo_rn\",\n p.\"hi_rn\"\n)\nSELECT\n \"group_col\" AS \"smoking_status\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n ELSE \"lo_val\" + (\"h\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.9) in SQLite with window functions and linear interpolation, casting \"avg_glucose_level\" from TEXT to REAL, excluding blank values, and retaining groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/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_e352007df373a7cd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..72c90c5b51f6d2b82a1d3d41cf7bbfb7ca00a40b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Urban", "support": 2596, "support_share": 0.5080234833659492, "cumulative_support": 2596}, {"value_label": "Rural", "support": 2514, "support_share": 0.4919765166340509, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b87f084de64647e8286837ca6c139686848aef6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_e352007df373a7cd +-- problem_id: v2p_m7_2e726dc89de95abc +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Residence_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "Residence_type" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d06cc60712085871fd908478816ba680cc628076 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_e352007df373a7cd\n-- problem_id: v2p_m7_2e726dc89de95abc\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Residence_type\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"Residence_type\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_e352007df373a7cd\\n-- problem_id: v2p_m7_2e726dc89de95abc\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Residence_type\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"Residence_type\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Urban\", \"support\": 2596, \"support_share\": 0.5080234833659492, \"cumulative_support\": 2596}, {\"value_label\": \"Rural\", \"support\": 2514, \"support_share\": 0.4919765166340509, \"cumulative_support\": 5110}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..81fc56f69b24c119347d5e59898a343ddc2cc585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.873159+00:00", + "ended_at": "2026-05-19T16:09:16.875322+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e352007df373a7cd", + "problem_id": "v2p_m7_2e726dc89de95abc", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type.", + "bindings": { + "group_col": "Residence_type" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e352007df373a7cd.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e352007df373a7cd/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0a142bb14d7f02d0681095107f0191e6e26308c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"age": 82.0}, {"age": 82.0}, {"age": 82.0}, {"age": 82.0}, {"age": 82.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ef1538d465d1b73852a59864e52c9ec6ea26c18b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/generated_sql.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: m7 +-- 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_m7_e40abd3fe2d08427 +-- problem_id: v2p_m7_d255563c12e1c424 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "age" IS NOT NULL AND "age" <> '' +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0858c74d0fca31c628bb9dfaef3c138b3f6a3ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"age\"], \"rows\": [{\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}, {\"age\": 82.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ce983842ca0692bd14fdc1a82da7e81dae693aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:44:41.616303+00:00", + "ended_at": "2026-05-19T15:45:02.625378+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e40abd3fe2d08427", + "problem_id": "v2p_m7_d255563c12e1c424", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "top_k": 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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=65" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e40abd3fe2d08427.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e61df99334d706054610028a21739923c229c3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:02.611387+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20992.75, "started_at": "2026-05-19T15:44:41.617206+00:00", "ended_at": "2026-05-19T15:45:02.609982+00:00", "prompt_metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..981a676df8145102910d93da18f0c63b67f5b4e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e40abd3fe2d08427/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_e43796e9748a8139/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b04d14ccf83164d11fc0d54d2a2d8b6d6f0e8119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Private", "group_value": 108082339.0}, {"work_type": "Self-employed", "group_value": 29116505.0}, {"work_type": "children", "group_value": 24573600.0}, {"work_type": "Govt_job", "group_value": 23991627.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..19625ec8db9b714b7985f0e9e7d40413a8eec634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/generated_sql.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: m7 +-- 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_m7_e43796e9748a8139 +-- problem_id: v2p_m7_95741ad3bdf78e2e +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "work_type", SUM(CAST("id" AS REAL)) AS "group_value" + FROM "m7" + GROUP BY "work_type" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."work_type", 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/m7/artifacts/v2q_m7_e43796e9748a8139/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b36a7c2158bd940a77e2720766522c16f2bc2c9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"work_type\", \"group_value\"], \"rows\": [{\"work_type\": \"Private\", \"group_value\": 108082339.0}, {\"work_type\": \"Self-employed\", \"group_value\": 29116505.0}, {\"work_type\": \"children\", \"group_value\": 24573600.0}, {\"work_type\": \"Govt_job\", \"group_value\": 23991627.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a1d2c6d30ed97ec255a9d7ee437984a92e8bfc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:48:14.594253+00:00", + "ended_at": "2026-05-19T15:48:26.221595+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e43796e9748a8139", + "problem_id": "v2p_m7_95741ad3bdf78e2e", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e43796e9748a8139.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39d0849a83ee10f61dbef33d455abacfa730b166 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:26.217618+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11621.51, "started_at": "2026-05-19T15:48:14.595256+00:00", "ended_at": "2026-05-19T15:48:26.216798+00:00", "prompt_metrics": {"chars": 8209, "bytes_utf8": 8209, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4275ed005062a9a3524656d619f510d6c2f9829e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e43796e9748a8139/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_e4767ace0a1bf7f6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d13421febc425c08bdd5a6c3b4110325885251c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"smoking_status": "never smoked", "total_rows": 1892, "missing_rows": 0, "missing_rate": 0.0}, {"smoking_status": "Unknown", "total_rows": 1544, "missing_rows": 0, "missing_rate": 0.0}, {"smoking_status": "formerly smoked", "total_rows": 885, "missing_rows": 0, "missing_rate": 0.0}, {"smoking_status": "smokes", "total_rows": 789, "missing_rows": 0, "missing_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_e4767ace0a1bf7f6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cec3cf2e6ea014d83287a991db49abd2208de77f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/generated_sql.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: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_e4767ace0a1bf7f6 +-- problem_id: v2p_m7_357ffd8dc030f0c0 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "smoking_status", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "smoking_status" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..319a39d0a7bef7a04423cfa56e56d145f5310504 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_e4767ace0a1bf7f6\n-- problem_id: v2p_m7_357ffd8dc030f0c0\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"smoking_status\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_e4767ace0a1bf7f6\\n-- problem_id: v2p_m7_357ffd8dc030f0c0\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"smoking_status\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"smoking_status\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"total_rows\": 1892, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"smoking_status\": \"Unknown\", \"total_rows\": 1544, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"smoking_status\": \"formerly smoked\", \"total_rows\": 885, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"smoking_status\": \"smokes\", \"total_rows\": 789, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b2392d6308897c30ec328e4f4a1db04a8e0a1e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.853916+00:00", + "ended_at": "2026-05-19T16:09:16.856810+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e4767ace0a1bf7f6", + "problem_id": "v2p_m7_357ffd8dc030f0c0", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=smoking_status, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "smoking_status" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e4767ace0a1bf7f6.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e4767ace0a1bf7f6/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ebf973a5d2736e9076d33c6e4e3343af1f80536c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:07:57.183790+00:00", + "ended_at": "2026-05-19T16:08:03.903877+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e9e7ea01ff1af1cf", + "problem_id": "v2p_m7_3aeee72eea8bb64f", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce8b8468b52a19ec948e71dcf633a6d8b57b5123 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e9e7ea01ff1af1cf/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:00.099623+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2913.95, "started_at": "2026-05-19T16:07:57.184934+00:00", "ended_at": "2026-05-19T16:08:00.098914+00:00", "prompt_metrics": {"chars": 7731, "bytes_utf8": 7731, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-7109-78f3-8019-9dc73c916784\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:03.903791+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2802.64, "started_at": "2026-05-19T16:08:01.100418+00:00", "ended_at": "2026-05-19T16:08:03.903087+00:00", "prompt_metrics": {"chars": 7731, "bytes_utf8": 7731, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-804f-7bf1-a3c0-5b2edea7ca7d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5761f7ace24892704dd8d22591a50a1d82b25e60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "group_value": 109220177.0}, {"gender": "Male", "group_value": 77329775.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..898efbe2a755194cd94ce5bdab59b6ceb7323f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/generated_sql.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: m7 +-- 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_m7_ebe2372fc5d49781 +-- problem_id: v2p_m7_a23246231aada6ed +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", SUM(CAST("id" AS REAL)) AS group_value + FROM "m7" + WHERE "gender" IS NOT NULL + AND "gender" <> '' + AND "id" IS NOT NULL + AND "id" <> '' + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", 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/m7/artifacts/v2q_m7_ebe2372fc5d49781/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ce5a4aa2ef4af5a8eafce828b838783111e4c5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"gender\", \"group_value\"], \"rows\": [{\"gender\": \"Female\", \"group_value\": 109220177.0}, {\"gender\": \"Male\", \"group_value\": 77329775.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c4e390b45ebe3637eb52f84d317ad613a5e233f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:46:10.724547+00:00", + "ended_at": "2026-05-19T15:46:25.985426+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ebe2372fc5d49781", + "problem_id": "v2p_m7_a23246231aada6ed", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ebe2372fc5d49781.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15237227301f852218e0e1fffdabaceab979c570 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:25.978408+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15250.72, "started_at": "2026-05-19T15:46:10.726451+00:00", "ended_at": "2026-05-19T15:46:25.977208+00:00", "prompt_metrics": {"chars": 8203, "bytes_utf8": 8203, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..77552798ae163fec4f466be53f350f60be1292e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ebe2372fc5d49781/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_ece12ccad72f5b76/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..19a25b46f969570c3b8e1ac20764a192b5533d2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "78", "support": 102, "avg_response": 35946.85294117647}, {"age": "57", "support": 95, "avg_response": 38093.47368421053}, {"age": "52", "support": 90, "avg_response": 38233.455555555556}, {"age": "54", "support": 87, "avg_response": 35001.10344827586}, {"age": "51", "support": 86, "avg_response": 31069.232558139534}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f4ad6b99ca6334f6bece5294951264637e0d75d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/generated_sql.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: m7 +-- 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_m7_ece12ccad72f5b76 +-- problem_id: v2p_m7_203704ab0f8f4f79 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "m7" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..176fd6f97763133c007f137f609b81d23b89e104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_ece12ccad72f5b76\n-- problem_id: v2p_m7_203704ab0f8f4f79\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"m7\"\nGROUP BY \"age\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_ece12ccad72f5b76\\n-- problem_id: v2p_m7_203704ab0f8f4f79\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"78\", \"support\": 102, \"avg_response\": 35946.85294117647}, {\"age\": \"57\", \"support\": 95, \"avg_response\": 38093.47368421053}, {\"age\": \"52\", \"support\": 90, \"avg_response\": 38233.455555555556}, {\"age\": \"54\", \"support\": 87, \"avg_response\": 35001.10344827586}, {\"age\": \"51\", \"support\": 86, \"avg_response\": 31069.232558139534}, {\"age\": \"53\", \"support\": 85, \"avg_response\": 41396.0}, {\"age\": \"45\", \"support\": 85, \"avg_response\": 36033.83529411765}, {\"age\": \"79\", \"support\": 85, \"avg_response\": 35163.98823529412}, {\"age\": \"55\", \"support\": 83, \"avg_response\": 37142.89156626506}, {\"age\": \"50\", \"support\": 83, \"avg_response\": 35443.57831325301}, {\"age\": \"59\", \"support\": 80, \"avg_response\": 37544.7625}, {\"age\": \"49\", \"support\": 79, \"avg_response\": 37071.94936708861}, {\"age\": \"31\", \"support\": 79, \"avg_response\": 32998.6582278481}, {\"age\": \"56\", \"support\": 77, \"avg_response\": 37910.48051948052}, {\"age\": \"61\", \"support\": 76, \"avg_response\": 39010.38157894737}, {\"age\": \"37\", \"support\": 76, \"avg_response\": 36722.14473684211}, {\"age\": \"47\", \"support\": 75, \"avg_response\": 41176.48}, {\"age\": \"44\", \"support\": 75, \"avg_response\": 33026.21333333333}, {\"age\": \"62\", \"support\": 74, \"avg_response\": 40615.85135135135}, {\"age\": \"40\", \"support\": 74, \"avg_response\": 38781.60810810811}, {\"age\": \"63\", \"support\": 74, \"avg_response\": 36185.43243243243}, {\"age\": \"41\", \"support\": 73, \"avg_response\": 31531.794520547945}, {\"age\": \"38\", \"support\": 72, \"avg_response\": 38188.90277777778}, {\"age\": \"60\", \"support\": 72, \"avg_response\": 37373.34722222222}, {\"age\": \"39\", \"support\": 71, \"avg_response\": 36785.76056338028}, {\"age\": \"42\", \"support\": 71, \"avg_response\": 35326.380281690144}, {\"age\": \"32\", \"support\": 71, \"avg_response\": 33130.05633802817}, {\"age\": \"80\", \"support\": 70, \"avg_response\": 39365.78571428572}, {\"age\": \"43\", \"support\": 70, \"avg_response\": 34291.05714285714}, {\"age\": \"34\", \"support\": 68, \"avg_response\": 38126.69117647059}, {\"age\": \"58\", \"support\": 68, \"avg_response\": 37856.42647058824}, {\"age\": \"48\", \"support\": 66, \"avg_response\": 40425.40909090909}, {\"age\": \"5\", \"support\": 65, \"avg_response\": 36319.64615384615}, {\"age\": \"23\", \"support\": 64, \"avg_response\": 37260.78125}, {\"age\": \"46\", \"support\": 62, \"avg_response\": 38764.403225806454}, {\"age\": \"26\", \"support\": 62, \"avg_response\": 38379.1129032258}, {\"age\": \"65\", \"support\": 62, \"avg_response\": 36809.967741935485}, {\"age\": \"71\", \"support\": 61, \"avg_response\": 34418.524590163935}, {\"age\": \"18\", \"support\": 60, \"avg_response\": 39180.11666666667}, {\"age\": \"81\", \"support\": 60, \"avg_response\": 37243.36666666667}, {\"age\": \"17\", \"support\": 60, \"avg_response\": 36801.583333333336}, {\"age\": \"66\", \"support\": 60, \"avg_response\": 34397.55}, {\"age\": \"20\", \"support\": 59, \"avg_response\": 34013.06779661017}, {\"age\": \"8\", \"support\": 58, \"avg_response\": 31840.94827586207}, {\"age\": \"25\", \"support\": 57, \"avg_response\": 37956.087719298244}, {\"age\": \"33\", \"support\": 57, \"avg_response\": 36204.40350877193}, {\"age\": \"13\", \"support\": 57, \"avg_response\": 33526.78947368421}, {\"age\": \"82\", \"support\": 56, \"avg_response\": 36731.03571428572}, {\"age\": \"27\", \"support\": 55, \"avg_response\": 41565.65454545455}, {\"age\": \"30\", \"support\": 55, \"avg_response\": 38146.58181818182}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5f0bf726a4078af6bf7fec15261b4c6b8126aaa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.915427+00:00", + "ended_at": "2026-05-19T16:09:16.918645+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ece12ccad72f5b76", + "problem_id": "v2p_m7_203704ab0f8f4f79", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ece12ccad72f5b76.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ece12ccad72f5b76/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..49b15dd9363bb4478a7f56bec7a13eda48f890fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8455, "bytes_utf8": 8455, "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": 615, "bytes_utf8": 615, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14484, "cached_input_tokens": 13696, "output_tokens": 660, "reasoning_output_tokens": 492}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..377e310a81c3fb30210762fc7c638fd06815a2c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/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_f2f2779a92ddbb85", + "api_calls": 0, + "input_tokens": 14484, + "cached_input_tokens": 13696, + "output_tokens": 660, + "total_tokens": 15144, + "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": 12612.11, + "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_f2f2779a92ddbb85/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_f2f2779a92ddbb85/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18795c780aef940e4b064fb34df47eb2dad8f26a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/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": "2026-05-19T15:39:50.482510+00:00", + "ended_at": "2026-05-19T15:40:03.094643+00:00", + "elapsed_ms": 12612.11, + "prompt_metrics": { + "chars": 8455, + "bytes_utf8": 8455, + "lines": 243, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 984, + "bytes_utf8": 984, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 615, + "bytes_utf8": 615, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14484, + "cached_input_tokens": 13696, + "output_tokens": 660, + "reasoning_output_tokens": 492 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_f2f2779a92ddbb85/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..498f173e807c669c91cca131ef959e24d1ca6a91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/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=stroke, condition_col=stroke.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "stroke", + "condition_col": "stroke", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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},\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_f2f2779a92ddbb85/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21c2daf445fadd31a7f8b198438effa1803f2baa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-b453-7fe2-84b9-7eebfb593c33"} +{"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 \\\"stroke\\\",\\n SUM(CASE WHEN \\\"stroke\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"stroke\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n)\\nSELECT \\\"stroke\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the provided template exactly with group_col=\\\"stroke\\\" and condition_col=\\\"stroke\\\", comparing '0' to '1' within each stroke group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14484,"cached_input_tokens":13696,"output_tokens":660,"reasoning_output_tokens":492}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c47b23e6a80ef03d0bd6d637586cf54786e571ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"stroke\",\n SUM(CASE WHEN \"stroke\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"stroke\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"stroke\"\n)\nSELECT \"stroke\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the provided template exactly with group_col=\"stroke\" and condition_col=\"stroke\", comparing '0' to '1' within each stroke group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/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_f448f173aa9b8b5f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b39ef233cf32a12bbdc27455c5e7477f928f2753 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8074, "bytes_utf8": 8074, "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": 843, "bytes_utf8": 843, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 13696, "output_tokens": 697, "reasoning_output_tokens": 467}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a68a76c3d56bcc51b8926e62023724379b0dcf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/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_f448f173aa9b8b5f", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 697, + "total_tokens": 15094, + "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": 15522.99, + "sql_execution_elapsed_ms_total": 39.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/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_f448f173aa9b8b5f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f50c5227cb111891a78cded8e27c65b10e5397d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/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": "2026-05-19T15:36:26.241334+00:00", + "ended_at": "2026-05-19T15:36:41.764375+00:00", + "elapsed_ms": 15522.99, + "prompt_metrics": { + "chars": 8074, + "bytes_utf8": 8074, + "lines": 242, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1245, + "bytes_utf8": 1245, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 843, + "bytes_utf8": 843, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 697, + "reasoning_output_tokens": 467 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_f448f173aa9b8b5f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b6deb756ac5eb3d830af7386ef222a08d8a4760 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/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=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": 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}, {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_f448f173aa9b8b5f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..75279d9697c2e455edf61804a08398d108628997 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-9672-7190-bcc4-40f3a1c103ad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Residence_type\\\",\\n \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0\\n / 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\":\"Applied the required Within-Group Share of Total template with group_col=\\\"Residence_type\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL and excluded empty strings to keep the aggregation numeric and SQLite-safe.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14397,"cached_input_tokens":13696,"output_tokens":697,"reasoning_output_tokens":467}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07eb95ec583f2522ce7fe92928e885368d017c2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT\n \"Residence_type\",\n \"avg_glucose_level\",\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) * 100.0\n / 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":"Applied the required Within-Group Share of Total template with group_col=\"Residence_type\", item_col=\"avg_glucose_level\", and measure_col=\"age\". Cast \"age\" from TEXT to REAL and excluded empty strings to keep the aggregation 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_f448f173aa9b8b5f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/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_f62c77f06c666b1d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..82da5c9275433e1a19ebe7876463ae179bc978e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "78", "support": 102, "avg_response": 25.46470588235294}, {"age": "57", "support": 95, "avg_response": 31.50526315789474}, {"age": "52", "support": 90, "avg_response": 31.49}, {"age": "54", "support": 87, "avg_response": 30.958620689655174}, {"age": "51", "support": 86, "avg_response": 31.02441860465116}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f72e0480233d8871cb0fefaff2b9c09f1c2e0b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/generated_sql.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: m7 +-- 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_m7_f62c77f06c666b1d +-- problem_id: v2p_m7_ab85ccd8b8121120 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m7" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f559d9662614248b4ce794bbb54da92254aa07ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_f62c77f06c666b1d\n-- problem_id: v2p_m7_ab85ccd8b8121120\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"bmi\") AS avg_response\nFROM \"m7\"\nGROUP BY \"age\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_f62c77f06c666b1d\\n-- problem_id: v2p_m7_ab85ccd8b8121120\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bmi\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"78\", \"support\": 102, \"avg_response\": 25.46470588235294}, {\"age\": \"57\", \"support\": 95, \"avg_response\": 31.50526315789474}, {\"age\": \"52\", \"support\": 90, \"avg_response\": 31.49}, {\"age\": \"54\", \"support\": 87, \"avg_response\": 30.958620689655174}, {\"age\": \"51\", \"support\": 86, \"avg_response\": 31.02441860465116}, {\"age\": \"53\", \"support\": 85, \"avg_response\": 31.180000000000003}, {\"age\": \"45\", \"support\": 85, \"avg_response\": 30.603529411764708}, {\"age\": \"79\", \"support\": 85, \"avg_response\": 25.240000000000002}, {\"age\": \"55\", \"support\": 83, \"avg_response\": 30.857831325301202}, {\"age\": \"50\", \"support\": 83, \"avg_response\": 29.60843373493976}, {\"age\": \"59\", \"support\": 80, \"avg_response\": 29.2425}, {\"age\": \"49\", \"support\": 79, \"avg_response\": 31.31898734177215}, {\"age\": \"31\", \"support\": 79, \"avg_response\": 30.026582278481012}, {\"age\": \"56\", \"support\": 77, \"avg_response\": 30.697402597402593}, {\"age\": \"37\", \"support\": 76, \"avg_response\": 31.114473684210523}, {\"age\": \"61\", \"support\": 76, \"avg_response\": 27.806578947368422}, {\"age\": \"44\", \"support\": 75, \"avg_response\": 30.185333333333336}, {\"age\": \"47\", \"support\": 75, \"avg_response\": 29.432000000000002}, {\"age\": \"62\", \"support\": 74, \"avg_response\": 31.049999999999997}, {\"age\": \"63\", \"support\": 74, \"avg_response\": 29.448648648648646}, {\"age\": \"40\", \"support\": 74, \"avg_response\": 28.7472972972973}, {\"age\": \"41\", \"support\": 73, \"avg_response\": 31.501369863013696}, {\"age\": \"38\", \"support\": 72, \"avg_response\": 31.165277777777778}, {\"age\": \"60\", \"support\": 72, \"avg_response\": 29.926388888888887}, {\"age\": \"39\", \"support\": 71, \"avg_response\": 31.302816901408452}, {\"age\": \"42\", \"support\": 71, \"avg_response\": 30.897183098591547}, {\"age\": \"32\", \"support\": 71, \"avg_response\": 29.271830985915496}, {\"age\": \"43\", \"support\": 70, \"avg_response\": 30.467142857142854}, {\"age\": \"80\", \"support\": 70, \"avg_response\": 27.55}, {\"age\": \"34\", \"support\": 68, \"avg_response\": 29.766176470588235}, {\"age\": \"58\", \"support\": 68, \"avg_response\": 29.38823529411765}, {\"age\": \"48\", \"support\": 66, \"avg_response\": 29.992424242424242}, {\"age\": \"5\", \"support\": 65, \"avg_response\": 18.646153846153847}, {\"age\": \"23\", \"support\": 64, \"avg_response\": 27.325}, {\"age\": \"65\", \"support\": 62, \"avg_response\": 30.648387096774194}, {\"age\": \"46\", \"support\": 62, \"avg_response\": 30.48225806451613}, {\"age\": \"26\", \"support\": 62, \"avg_response\": 26.927419354838708}, {\"age\": \"71\", \"support\": 61, \"avg_response\": 26.555737704918034}, {\"age\": \"66\", \"support\": 60, \"avg_response\": 29.915000000000003}, {\"age\": \"17\", \"support\": 60, \"avg_response\": 28.525}, {\"age\": \"81\", \"support\": 60, \"avg_response\": 27.951666666666664}, {\"age\": \"18\", \"support\": 60, \"avg_response\": 25.833333333333332}, {\"age\": \"20\", \"support\": 59, \"avg_response\": 24.789830508474576}, {\"age\": \"8\", \"support\": 58, \"avg_response\": 18.99827586206897}, {\"age\": \"33\", \"support\": 57, \"avg_response\": 30.680701754385964}, {\"age\": \"25\", \"support\": 57, \"avg_response\": 28.328070175438597}, {\"age\": \"13\", \"support\": 57, \"avg_response\": 22.417543859649122}, {\"age\": \"82\", \"support\": 56, \"avg_response\": 27.52857142857143}, {\"age\": \"27\", \"support\": 55, \"avg_response\": 28.965454545454545}, {\"age\": \"30\", \"support\": 55, \"avg_response\": 28.825454545454548}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..34ac3c030481b13ff640b7ffbd153c3272fecc35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.923177+00:00", + "ended_at": "2026-05-19T16:09:16.926521+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_f62c77f06c666b1d", + "problem_id": "v2p_m7_ab85ccd8b8121120", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "bmi", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f62c77f06c666b1d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f62c77f06c666b1d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b42c233c0b2d7c670bf94e475615a68ea154e437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"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": 1965, "bytes_utf8": 1965, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 3001, "reasoning_output_tokens": 2361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b2a29085e706402f5d56dae00e2ac3f8772e3711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/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_faf0b2cb8033f56e", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 3001, + "total_tokens": 17316, + "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": 42063.95, + "sql_execution_elapsed_ms_total": 28.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/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_faf0b2cb8033f56e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..064e734931e2dfbafc5da98db3b914803d1bf244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:33.561982+00:00", + "ended_at": "2026-05-19T15:52:15.626056+00:00", + "elapsed_ms": 42063.95, + "prompt_metrics": { + "chars": 7837, + "bytes_utf8": 7837, + "lines": 240, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2592, + "bytes_utf8": 2592, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1965, + "bytes_utf8": 1965, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 3001, + "reasoning_output_tokens": 2361 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_faf0b2cb8033f56e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfb9e3a89bb6d46e9358c387ca28b4e756a451ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/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": 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},\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_faf0b2cb8033f56e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f98a70395353fe9276cb6b446328c0f7e231436e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-6ecf-7633-9b43-cccc964e74a5"} +{"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 \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Residence_type\\\") AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n),\\n\\\"group_stats\\\" AS (\\n SELECT DISTINCT\\n \\\"Residence_type\\\",\\n \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"target_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"floor_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + CASE\\n WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) > CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"ceil_rn\\\"\\n FROM \\\"group_stats\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n t.\\\"Residence_type\\\",\\n t.\\\"target_rn\\\",\\n t.\\\"floor_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"floor_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"floor_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"ceil_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"ceil_value\\\"\\n FROM \\\"targets\\\" AS t\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"Residence_type\\\" = t.\\\"Residence_type\\\"\\n GROUP BY t.\\\"Residence_type\\\", t.\\\"target_rn\\\", t.\\\"floor_rn\\\"\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n CASE\\n WHEN \\\"floor_value\\\" IS NULL THEN NULL\\n WHEN \\\"ceil_value\\\" IS NULL OR \\\"target_rn\\\" = \\\"floor_rn\\\" THEN \\\"floor_value\\\"\\n ELSE \\\"floor_value\\\" + (\\\"target_rn\\\" - \\\"floor_rn\\\") * (\\\"ceil_value\\\" - \\\"floor_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT, so this emulates the 90th percentile of numeric \\\"age\\\" within each \\\"Residence_type\\\" using ordered rows and linear interpolation; empty age values are excluded and only groups with at least 5 rows are kept.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14315,"cached_input_tokens":13696,"output_tokens":3001,"reasoning_output_tokens":2361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb2220c48e45ee10658679d7a315c632656650b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/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 \"rn\",\n COUNT(*) OVER (PARTITION BY \"Residence_type\") AS \"cnt\"\n FROM \"m7\"\n WHERE NULLIF(\"age\", '') IS NOT NULL\n),\n\"group_stats\" AS (\n SELECT DISTINCT\n \"Residence_type\",\n \"cnt\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n),\n\"targets\" AS (\n SELECT\n \"Residence_type\",\n (0.9 * (\"cnt\" - 1) + 1.0) AS \"target_rn\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"floor_rn\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) + CASE\n WHEN (0.9 * (\"cnt\" - 1) + 1.0) > CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) THEN 1\n ELSE 0\n END AS \"ceil_rn\"\n FROM \"group_stats\"\n),\n\"bounds\" AS (\n SELECT\n t.\"Residence_type\",\n t.\"target_rn\",\n t.\"floor_rn\",\n MAX(CASE WHEN o.\"rn\" = t.\"floor_rn\" THEN o.\"age_value\" END) AS \"floor_value\",\n MAX(CASE WHEN o.\"rn\" = t.\"ceil_rn\" THEN o.\"age_value\" END) AS \"ceil_value\"\n FROM \"targets\" AS t\n JOIN \"ordered\" AS o\n ON o.\"Residence_type\" = t.\"Residence_type\"\n GROUP BY t.\"Residence_type\", t.\"target_rn\", t.\"floor_rn\"\n)\nSELECT\n \"Residence_type\",\n CASE\n WHEN \"floor_value\" IS NULL THEN NULL\n WHEN \"ceil_value\" IS NULL OR \"target_rn\" = \"floor_rn\" THEN \"floor_value\"\n ELSE \"floor_value\" + (\"target_rn\" - \"floor_rn\") * (\"ceil_value\" - \"floor_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite has no PERCENTILE_CONT, so this emulates the 90th percentile of numeric \"age\" within each \"Residence_type\" using ordered rows and linear interpolation; empty age values are excluded and only groups with at least 5 rows are kept."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcafc5aec77066246f0bad096e08c6b1d84583b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "0", "group_value": 504652.65}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cca59dd571f78539a69610bba349363ad4d58f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/generated_sql.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: m7 +-- 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_m7_fcf2ee8d03f77c2a +-- problem_id: v2p_m7_30b15db9cf7c1f56 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "heart_disease", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "heart_disease" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."heart_disease", 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/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9cf8dae1a606624c53802dc533cfc8e542095daf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"heart_disease\", \"group_value\"], \"rows\": [{\"heart_disease\": \"0\", \"group_value\": 504652.65}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6fbabd1321f6cfa41e96a5b4cf0c7f6d32eb6762 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:46:59.355108+00:00", + "ended_at": "2026-05-19T15:47:13.144722+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_fcf2ee8d03f77c2a", + "problem_id": "v2p_m7_30b15db9cf7c1f56", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fcf2ee8d03f77c2a.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a72a6c546a4066dd28dd3506d84f429015d513d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:13.138225+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13780.43, "started_at": "2026-05-19T15:46:59.356421+00:00", "ended_at": "2026-05-19T15:47:13.136904+00:00", "prompt_metrics": {"chars": 8242, "bytes_utf8": 8242, "lines": 240, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0c072bce9fe52a6b20f8c269ab808fe2a9977f0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fcf2ee8d03f77c2a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_fd9b90663b3149f8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..194d5efc1f331d61c6e89510f82f5dab5bf5df72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Private", "support": 2925, "support_share": 0.5724070450097848, "support_rank": 1}, {"value_label": "Self-employed", "support": 819, "support_share": 0.16027397260273973, "support_rank": 2}, {"value_label": "children", "support": 687, "support_share": 0.1344422700587084, "support_rank": 3}, {"value_label": "Govt_job", "support": 657, "support_share": 0.12857142857142856, "support_rank": 4}, {"value_label": "Never_worked", "support": 22, "support_share": 0.004305283757338552, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fa84d3f09d2c97aa0f179ca0399dd65176a40077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/generated_sql.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: m7 +-- 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_m7_fd9b90663b3149f8 +-- problem_id: v2p_m7_9b51be8de9f7867d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "work_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "work_type" +) +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/m7/artifacts/v2q_m7_fd9b90663b3149f8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5d062ab28203acee2d630825acd63b366cdf78b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_fd9b90663b3149f8\n-- problem_id: v2p_m7_9b51be8de9f7867d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"work_type\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"work_type\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_fd9b90663b3149f8\\n-- problem_id: v2p_m7_9b51be8de9f7867d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"work_type\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Private\", \"support\": 2925, \"support_share\": 0.5724070450097848, \"support_rank\": 1}, {\"value_label\": \"Self-employed\", \"support\": 819, \"support_share\": 0.16027397260273973, \"support_rank\": 2}, {\"value_label\": \"children\", \"support\": 687, \"support_share\": 0.1344422700587084, \"support_rank\": 3}, {\"value_label\": \"Govt_job\", \"support\": 657, \"support_share\": 0.12857142857142856, \"support_rank\": 4}, {\"value_label\": \"Never_worked\", \"support\": 22, \"support_share\": 0.004305283757338552, \"support_rank\": 5}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8b18838a4546e05ba40d1ba1a0c689c35117942d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.891446+00:00", + "ended_at": "2026-05-19T16:09:16.893880+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_fd9b90663b3149f8", + "problem_id": "v2p_m7_9b51be8de9f7867d", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=work_type.", + "bindings": { + "group_col": "work_type" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fd9b90663b3149f8.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fd9b90663b3149f8/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5811d97487b4fc8a50591516e8d8838d3f1f15eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=stroke. +Result preview: [{"stroke": "1", "support": 249}, {"stroke": "0", "support": 4861}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8009ae9a80d78cbe4eff324180bbaaae0c149113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/generated_sql.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: m7 +-- 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_m7_ff3e0150199b7682 +-- problem_id: v2p_m7_b5fc9029ae15e839 +-- realization_mode: agent +-- source_kind: agent +SELECT + "stroke", + COUNT(*) AS "support" +FROM "m7" +GROUP BY "stroke" +ORDER BY "support" ASC, "stroke" +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2addfed6fef0e1c0d62f55cab066a81fb98ddf57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stroke\", \"support\"], \"rows\": [{\"stroke\": \"1\", \"support\": 249}, {\"stroke\": \"0\", \"support\": 4861}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad696b79132e3b72b0f4cf0f9f786a0ea446393a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:32.965167+00:00", + "ended_at": "2026-05-19T16:06:40.285419+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ff3e0150199b7682", + "problem_id": "v2p_m7_b5fc9029ae15e839", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=stroke.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ff3e0150199b7682.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b5e2907494c0268b2846ad2378797ae0d1edbd2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:40.280908+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7313.3, "started_at": "2026-05-19T16:06:32.966516+00:00", "ended_at": "2026-05-19T16:06:40.279851+00:00", "prompt_metrics": {"chars": 7645, "bytes_utf8": 7645, "lines": 238, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bf55733bdb20537686a6a1c3d72f6627e0f96ff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff3e0150199b7682/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_ff93db28aebf4ed7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9d3edfda193dd386bd0510c04cdd9a3521511d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:49.585543+00:00", + "ended_at": "2026-05-19T15:57:52.808404+00:00", + "elapsed_ms": 3222.84, + "returncode": 1, + "prompt_metrics": { + "chars": 7830, + "bytes_utf8": 7830, + "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_ff93db28aebf4ed7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af307a31b1ceccdc75c8f851914115e9b2dfb95f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:53.809845+00:00", + "ended_at": "2026-05-19T15:57:57.445255+00:00", + "elapsed_ms": 3635.38, + "returncode": 1, + "prompt_metrics": { + "chars": 7830, + "bytes_utf8": 7830, + "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_ff93db28aebf4ed7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e62ea42abc552bd4f8c3ffa9cb001a6deb85de47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/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=work_type, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 {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_ff93db28aebf4ed7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e62ea42abc552bd4f8c3ffa9cb001a6deb85de47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/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=work_type, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 {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_ff93db28aebf4ed7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be692ae460ef4ce6c450cc008d6ae935d4020991 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-2b86-7f22-b6c6-39270e29d313"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_ff93db28aebf4ed7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b388e97b9320b60ece0a39646240648cd2cd50a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-2b86-7f22-b6c6-39270e29d313"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_ff93db28aebf4ed7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f801f1320a4679066479e9de8c437195257c7205 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-3c09-7db2-9e34-a25dac1fbc58"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_ff93db28aebf4ed7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fec4d056c3c11235ab11a93d84547dbb506ed2b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-3c09-7db2-9e34-a25dac1fbc58"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_ff93db28aebf4ed7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/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_ff93db28aebf4ed7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391