diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b84ef54d58cd3564e1f26162e1f3c907ab113b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/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=TrafficType, measure_col=Administrative_Duration. +Result preview: [{"TrafficType": "16", "ProductRelated": "17", "total_measure": 822.7666667, "share_within_group": 92.67825629885186}, {"TrafficType": "14", "ProductRelated": "705", "total_measure": 2629.253968, "share_within_group": 72.9756282355336}, {"TrafficType": "18", "ProductRelated": "18", "total_measure": 312.0, "share_within_group": 43.24923759356806}, {"TrafficType": "19", "ProductRelated": "362", "total_measure": 270.0, "share_within_group": 39.535425470676955}, {"TrafficType": "18", "ProductRelated": "8", "total_measure": 238.4, "share_within_group": 33.046853340726365}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b67fb3622b3bb06ead1a6b9f386b26a90bf6aa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_00387f4822336c98 +-- problem_id: v2p_m6_8958f4b0003d68a4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "TrafficType", + "ProductRelated", + SUM(CAST("Administrative_Duration" AS REAL)) AS total_measure, + SUM(CAST("Administrative_Duration" AS REAL)) * 100.0 / SUM(SUM(CAST("Administrative_Duration" AS REAL))) OVER (PARTITION BY "TrafficType") AS share_within_group +FROM "m6" +WHERE "TrafficType" IS NOT NULL + AND "ProductRelated" IS NOT NULL + AND "Administrative_Duration" IS NOT NULL + AND TRIM("Administrative_Duration") <> '' +GROUP BY "TrafficType", "ProductRelated" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ab0f76dcd3c0e0369a5e55ee21db296bdccff14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/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 \"TrafficType\",\n \"ProductRelated\",\n SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure,\n SUM(CAST(\"Administrative_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative_Duration\" AS REAL))) OVER (PARTITION BY \"TrafficType\") AS share_within_group\nFROM \"m6\"\nWHERE \"TrafficType\" IS NOT NULL\n AND \"ProductRelated\" IS NOT NULL\n AND \"Administrative_Duration\" IS NOT NULL\n AND TRIM(\"Administrative_Duration\") <> ''\nGROUP BY \"TrafficType\", \"ProductRelated\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"TrafficType\\\",\\n \\\"ProductRelated\\\",\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"TrafficType\\\" IS NOT NULL\\n AND \\\"ProductRelated\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"TrafficType\", \"ProductRelated\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"TrafficType\": \"16\", \"ProductRelated\": \"17\", \"total_measure\": 822.7666667, \"share_within_group\": 92.67825629885186}, {\"TrafficType\": \"14\", \"ProductRelated\": \"705\", \"total_measure\": 2629.253968, \"share_within_group\": 72.9756282355336}, {\"TrafficType\": \"18\", \"ProductRelated\": \"18\", \"total_measure\": 312.0, \"share_within_group\": 43.24923759356806}, {\"TrafficType\": \"19\", \"ProductRelated\": \"362\", \"total_measure\": 270.0, \"share_within_group\": 39.535425470676955}, {\"TrafficType\": \"18\", \"ProductRelated\": \"8\", \"total_measure\": 238.4, \"share_within_group\": 33.046853340726365}, {\"TrafficType\": \"19\", \"ProductRelated\": \"51\", \"total_measure\": 166.9318182, \"share_within_group\": 24.443409100484057}, {\"TrafficType\": \"15\", \"ProductRelated\": \"50\", \"total_measure\": 604.5, \"share_within_group\": 22.673709873723112}, {\"TrafficType\": \"7\", \"ProductRelated\": \"2\", \"total_measure\": 772.0, \"share_within_group\": 22.615527145958673}, {\"TrafficType\": \"9\", \"ProductRelated\": \"14\", \"total_measure\": 571.16666667, \"share_within_group\": 20.05970498740391}, {\"TrafficType\": \"18\", \"ProductRelated\": \"16\", \"total_measure\": 116.0, \"share_within_group\": 16.07984474632659}, {\"TrafficType\": \"19\", \"ProductRelated\": \"16\", \"total_measure\": 103.0, \"share_within_group\": 15.08203267955454}, {\"TrafficType\": \"15\", \"ProductRelated\": \"14\", \"total_measure\": 377.0, \"share_within_group\": 14.140593254580006}, {\"TrafficType\": \"15\", \"ProductRelated\": \"58\", \"total_measure\": 367.6666667, \"share_within_group\": 13.790516676583382}, {\"TrafficType\": \"15\", \"ProductRelated\": \"26\", \"total_measure\": 364.5, \"share_within_group\": 13.671740693088626}, {\"TrafficType\": \"9\", \"ProductRelated\": \"11\", \"total_measure\": 372.66666667, \"share_within_group\": 13.088269726283794}, {\"TrafficType\": \"14\", \"ProductRelated\": \"114\", \"total_measure\": 468.3666667, \"share_within_group\": 12.999638742777883}, {\"TrafficType\": \"15\", \"ProductRelated\": \"4\", \"total_measure\": 335.5, \"share_within_group\": 12.584002750428626}, {\"TrafficType\": \"20\", \"ProductRelated\": \"27\", \"total_measure\": 1979.3147370000002, \"share_within_group\": 12.515354497140823}, {\"TrafficType\": \"7\", \"ProductRelated\": \"38\", \"total_measure\": 402.5, \"share_within_group\": 11.791126523637779}, {\"TrafficType\": \"20\", \"ProductRelated\": \"15\", \"total_measure\": 1759.83333333, \"share_within_group\": 11.127557235234155}, {\"TrafficType\": \"9\", \"ProductRelated\": \"18\", \"total_measure\": 302.0, \"share_within_group\": 10.606415359487526}, {\"TrafficType\": \"5\", \"ProductRelated\": \"3\", \"total_measure\": 2872.516666733, \"share_within_group\": 10.339038097857935}, {\"TrafficType\": \"7\", \"ProductRelated\": \"99\", \"total_measure\": 340.9, \"share_within_group\": 9.986571507846259}, {\"TrafficType\": \"7\", \"ProductRelated\": \"8\", \"total_measure\": 310.25, \"share_within_group\": 9.088688208592847}, {\"TrafficType\": \"9\", \"ProductRelated\": \"12\", \"total_measure\": 243.0, \"share_within_group\": 8.534301100514798}, {\"TrafficType\": \"19\", \"ProductRelated\": \"2\", \"total_measure\": 58.0, \"share_within_group\": 8.492795101108383}, {\"TrafficType\": \"9\", \"ProductRelated\": \"30\", \"total_measure\": 237.5, \"share_within_group\": 8.341137906881746}, {\"TrafficType\": \"7\", \"ProductRelated\": \"41\", \"total_measure\": 279.0, \"share_within_group\": 8.173228074770039}, {\"TrafficType\": \"19\", \"ProductRelated\": \"46\", \"total_measure\": 55.0, \"share_within_group\": 8.053512595878638}, {\"TrafficType\": \"9\", \"ProductRelated\": \"17\", \"total_measure\": 227.3333333, \"share_within_group\": 7.98407866899542}, {\"TrafficType\": \"9\", \"ProductRelated\": \"5\", \"total_measure\": 203.5, \"share_within_group\": 7.147038164422886}, {\"TrafficType\": \"8\", \"ProductRelated\": \"21\", \"total_measure\": 2532.11395727, \"share_within_group\": 7.121442414868804}, {\"TrafficType\": \"11\", \"ProductRelated\": \"67\", \"total_measure\": 1079.184314, \"share_within_group\": 6.9891027119106095}, {\"TrafficType\": \"11\", \"ProductRelated\": \"9\", \"total_measure\": 1043.85833333, \"share_within_group\": 6.760321674141005}, {\"TrafficType\": \"15\", \"ProductRelated\": \"22\", \"total_measure\": 179.5, \"share_within_group\": 6.732722783016209}, {\"TrafficType\": \"8\", \"ProductRelated\": \"3\", \"total_measure\": 2283.1666666300002, \"share_within_group\": 6.421290753234357}, {\"TrafficType\": \"8\", \"ProductRelated\": \"14\", \"total_measure\": 2209.83333367, \"share_within_group\": 6.215044463936977}, {\"TrafficType\": \"20\", \"ProductRelated\": \"23\", \"total_measure\": 980.6538314, \"share_within_group\": 6.2007472129230985}, {\"TrafficType\": \"8\", \"ProductRelated\": \"4\", \"total_measure\": 2119.325, \"share_within_group\": 5.960494353960268}, {\"TrafficType\": \"9\", \"ProductRelated\": \"3\", \"total_measure\": 169.0, \"share_within_group\": 5.935378131633748}, {\"TrafficType\": \"16\", \"ProductRelated\": \"16\", \"total_measure\": 52.0, \"share_within_group\": 5.857394960918508}, {\"TrafficType\": \"6\", \"ProductRelated\": \"18\", \"total_measure\": 1786.9, \"share_within_group\": 5.770735937735573}, {\"TrafficType\": \"13\", \"ProductRelated\": \"68\", \"total_measure\": 2855.7, \"share_within_group\": 5.703503893734373}, {\"TrafficType\": \"6\", \"ProductRelated\": \"24\", \"total_measure\": 1737.58333333, \"share_within_group\": 5.6114693527661315}, {\"TrafficType\": \"7\", \"ProductRelated\": \"59\", \"total_measure\": 184.2285714, \"share_within_group\": 5.396925204090525}, {\"TrafficType\": \"8\", \"ProductRelated\": \"20\", \"total_measure\": 1913.75, \"share_within_group\": 5.382325065712651}, {\"TrafficType\": \"10\", \"ProductRelated\": \"28\", \"total_measure\": 1851.57142856, \"share_within_group\": 5.376905121912637}, {\"TrafficType\": \"5\", \"ProductRelated\": \"8\", \"total_measure\": 1478.7619048, \"share_within_group\": 5.322501988744519}, {\"TrafficType\": \"15\", \"ProductRelated\": \"33\", \"total_measure\": 139.0, \"share_within_group\": 5.21364048378414}, {\"TrafficType\": \"5\", \"ProductRelated\": \"7\", \"total_measure\": 1420.68333333, \"share_within_group\": 5.1134600117033795}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9b3ee0570ec21f55ab52e15a6fcf1301a3fc2a82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:36:02.298264+00:00", + "ended_at": "2026-05-19T15:36:15.688200+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_00387f4822336c98", + "problem_id": "v2p_m6_8958f4b0003d68a4", + "dataset_id": "m6", + "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=TrafficType, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative_Duration", + "item_col": "ProductRelated", + "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": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_00387f4822336c98.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_00387f4822336c98", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 12032, + "output_tokens": 731, + "total_tokens": 15789, + "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": 13369.4, + "sql_execution_elapsed_ms_total": 15.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62a5420169d3d52e0a71878e7f2892ad2fb28749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:15.670984+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": 13369.4, "started_at": "2026-05-19T15:36:02.300792+00:00", "ended_at": "2026-05-19T15:36:15.670256+00:00", "prompt_metrics": {"chars": 10849, "bytes_utf8": 10849, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 832, "bytes_utf8": 832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 12032, "output_tokens": 731, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"TrafficType\\\",\\n \\\"ProductRelated\\\",\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"TrafficType\\\" IS NOT NULL\\n AND \\\"ProductRelated\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=TrafficType, item_col=ProductRelated, and measure_col=Administrative_Duration. Cast Administrative_Duration to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..19d4bdfedd66b6ac8f1c7baf182243f6dc9620b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_00387f4822336c98", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 12032, + "output_tokens": 731, + "total_tokens": 15789, + "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": 13369.4, + "sql_execution_elapsed_ms_total": 15.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d255db9fa4fbcae270faeeb9e3f8fa7a2c822d6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/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=VisitorType, measure_col=Informational. +Result preview: [{"VisitorType": "Other", "ProductRelated_Duration": "43", "total_measure": 4.0, "share_within_group": 26.666666666666668}, {"VisitorType": "Other", "ProductRelated_Duration": "9630.209524", "total_measure": 4.0, "share_within_group": 26.666666666666668}, {"VisitorType": "Other", "ProductRelated_Duration": "109", "total_measure": 2.0, "share_within_group": 13.333333333333334}, {"VisitorType": "Other", "ProductRelated_Duration": "1543.5", "total_measure": 2.0, "share_within_group": 13.333333333333334}, {"VisitorType": "Other", "ProductRelated_Duration": "1666.75", "total_measure": 1.0, "share_within_group": 6.666666666666667}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4017c3bb36c9425005bccb615b550be249b04e80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_009952ac72018b27 +-- problem_id: v2p_m6_3e09ed76c5b4ce70 +-- realization_mode: agent +-- source_kind: agent +SELECT "VisitorType", "ProductRelated_Duration", + SUM(CAST("Informational" AS REAL)) AS total_measure, + SUM(CAST("Informational" AS REAL)) * 100.0 / SUM(SUM(CAST("Informational" AS REAL))) OVER (PARTITION BY "VisitorType") AS share_within_group +FROM "m6" +GROUP BY "VisitorType", "ProductRelated_Duration" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aba3b14c85c6d6b6b594389dbde62e2e5e39cb33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/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 \"VisitorType\", \"ProductRelated_Duration\",\n SUM(CAST(\"Informational\" AS REAL)) AS total_measure,\n SUM(CAST(\"Informational\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Informational\" AS REAL))) OVER (PARTITION BY \"VisitorType\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"VisitorType\", \"ProductRelated_Duration\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"VisitorType\", \"ProductRelated_Duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"43\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"9630.209524\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"109\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"1543.5\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"1666.75\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"539.5\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"67.66666667\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"665.5666667\", \"total_measure\": 10.0, \"share_within_group\": 1.7699115044247788}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1886.5\", \"total_measure\": 9.0, \"share_within_group\": 1.592920353982301}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"12983.78771\", \"total_measure\": 7.0, \"share_within_group\": 1.238938053097345}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1446.733333\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"160.5\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2989.494048\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"481.31\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"838.15\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"944.8\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1176.5\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"128.5\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"239.7\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"513.4666667\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"577.6\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"851.6666667\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1055.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1243.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1357.833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"138.4166667\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1679.833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"213.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2816.43881\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2839.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"328\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"333.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"376\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"385.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"4114.083333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"427.0833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"46\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"5579.315873\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"595.0095238\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"67\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"678.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"70.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"74.6\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"806.65\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"910.0809524\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"924\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"10\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1005.806061\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"101\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"124.9583333\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 61.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54bec55b64fc1e903787343eec7aa5ad59c0a3e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:36:28.040245+00:00", + "ended_at": "2026-05-19T15:36:39.428537+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_009952ac72018b27", + "problem_id": "v2p_m6_3e09ed76c5b4ce70", + "dataset_id": "m6", + "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=VisitorType, measure_col=Informational.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Informational", + "item_col": "ProductRelated_Duration", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=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_b/m6/sql/v2q_m6_009952ac72018b27.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_009952ac72018b27", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 12032, + "output_tokens": 496, + "total_tokens": 15554, + "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": 11321.39, + "sql_execution_elapsed_ms_total": 61.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36a838bc129cbc1bd1814bb53067feb8e4422a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:39.364917+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": 11321.39, "started_at": "2026-05-19T15:36:28.042115+00:00", "ended_at": "2026-05-19T15:36:39.363541+00:00", "prompt_metrics": {"chars": 10838, "bytes_utf8": 10838, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 681, "bytes_utf8": 681, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 12032, "output_tokens": 496, "reasoning_output_tokens": 323}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"VisitorType\\\", item_col=\\\"ProductRelated_Duration\\\", and measure_col=\\\"Informational\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca2d585d35a79b3d779ff691e6b980a2510c5665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_009952ac72018b27", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 12032, + "output_tokens": 496, + "total_tokens": 15554, + "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": 11321.39, + "sql_execution_elapsed_ms_total": 61.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..79a1e9e4f391c4e93215dfbfc2308dc7f8a84196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/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=Region, measure_col=BounceRates. +Result preview: [{"Region": "1", "total_measure": 105.589241752}, {"Region": "3", "total_measure": 54.006239033}, {"Region": "4", "total_measure": 27.39423404}, {"Region": "2", "total_measure": 25.998817111}, {"Region": "6", "total_measure": 19.095766575}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..96695d705c90761a4f3a5baf389b1eeb0597817b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_0153b629293e135f +-- problem_id: v2p_m6_4bb20c067f639448 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Region", + SUM(CAST("BounceRates" AS REAL)) AS total_measure +FROM "m6" +GROUP BY "Region" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..efc41808b0494e071042ea4a39841df027cc3658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"Region\",\n SUM(CAST(\"BounceRates\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Region\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Region\\\",\\n SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Region\", \"total_measure\"], \"rows\": [{\"Region\": \"1\", \"total_measure\": 105.589241752}, {\"Region\": \"3\", \"total_measure\": 54.006239033}, {\"Region\": \"4\", \"total_measure\": 27.39423404}, {\"Region\": \"2\", \"total_measure\": 25.998817111}, {\"Region\": \"6\", \"total_measure\": 19.095766575}, {\"Region\": \"7\", \"total_measure\": 15.514705054}, {\"Region\": \"9\", \"total_measure\": 11.094416348000001}, {\"Region\": \"8\", \"total_measure\": 8.342854154}, {\"Region\": \"5\", \"total_measure\": 6.583447137}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..452870bfacc32576a63cbd54995aa65a25bfddbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:30:22.348647+00:00", + "ended_at": "2026-05-19T15:30:33.677883+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_0153b629293e135f", + "problem_id": "v2p_m6_4bb20c067f639448", + "dataset_id": "m6", + "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=Region, measure_col=BounceRates.", + "bindings": { + "group_col": "Region", + "measure_col": "BounceRates", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=1/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_b/m6/sql/v2q_m6_0153b629293e135f.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_0153b629293e135f", + "api_calls": 0, + "input_tokens": 14936, + "cached_input_tokens": 13696, + "output_tokens": 302, + "total_tokens": 15238, + "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": 11318.3, + "sql_execution_elapsed_ms_total": 7.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e69ec18d4d4093d41ef8c3f10e3697ac34786986 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:33.669238+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": 11318.3, "started_at": "2026-05-19T15:30:22.350149+00:00", "ended_at": "2026-05-19T15:30:33.668471+00:00", "prompt_metrics": {"chars": 10404, "bytes_utf8": 10404, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 367, "bytes_utf8": 367, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14936, "cached_input_tokens": 13696, "output_tokens": 302, "reasoning_output_tokens": 204}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Region\\\",\\n SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required grouped-sum template with group_col=\\\"Region\\\" and measure_col=\\\"BounceRates\\\". CAST is applied because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..03a96fef0356546671ea07add63862a04e4f6de8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_0153b629293e135f", + "api_calls": 0, + "input_tokens": 14936, + "cached_input_tokens": 13696, + "output_tokens": 302, + "total_tokens": 15238, + "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": 11318.3, + "sql_execution_elapsed_ms_total": 7.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fec65f2d67713937c7a4ddf8aba8deb276c384e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:06:04.393352+00:00", + "ended_at": "2026-05-19T16:06:11.381476+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_06aba71eeaeedd92", + "problem_id": "v2p_m6_c8565fdde81cda4c", + "dataset_id": "m6", + "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=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..18e5070e101a298a84bd9d8482387d059a8de401 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:07.427317+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": 3029.83, "started_at": "2026-05-19T16:06:04.396684+00:00", "ended_at": "2026-05-19T16:06:07.426552+00:00", "prompt_metrics": {"chars": 10404, "bytes_utf8": 10404, "lines": 310, "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-b881-7673-9742-a4e0cf9eb2d3\"}\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": "2026-05-19T16:06:11.381379+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": 2951.28, "started_at": "2026-05-19T16:06:08.429175+00:00", "ended_at": "2026-05-19T16:06:11.380513+00:00", "prompt_metrics": {"chars": 10404, "bytes_utf8": 10404, "lines": 310, "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-c849-7ca0-a934-99cf3cc04bea\"}\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_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac107b06c6e8c4af4d8ae812563348e5987a888f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/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=Revenue, condition_col=Weekend. +Result preview: [{"Revenue": "FALSE", "condition_ratio": 3.39932460953989}, {"Revenue": "TRUE", "condition_ratio": 2.823647294589178}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ffb14aa75fa8027e7cb8c01517ccb935a4fa7be8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_0e2e66f862cc66c8 +-- problem_id: v2p_m6_a1ae1b370c737eed +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Revenue", + SUM(CASE WHEN "Weekend" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Weekend" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count + FROM "m6" + GROUP BY "Revenue" +) +SELECT "Revenue", + 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_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3c8fbe3ca89bc4fc1813f624438e9f4c9f93150a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/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 \"Revenue\",\n SUM(CASE WHEN \"Weekend\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Weekend\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Revenue\"\n)\nSELECT \"Revenue\",\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 \\\"Revenue\\\",\\n SUM(CASE WHEN \\\"Weekend\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Revenue\\\"\\n)\\nSELECT \\\"Revenue\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"Revenue\", \"condition_ratio\"], \"rows\": [{\"Revenue\": \"FALSE\", \"condition_ratio\": 3.39932460953989}, {\"Revenue\": \"TRUE\", \"condition_ratio\": 2.823647294589178}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ccf3d7c6e08beb40fecc3d5bc0d995d373d39c5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:40:13.493283+00:00", + "ended_at": "2026-05-19T15:40:32.728238+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_0e2e66f862cc66c8", + "problem_id": "v2p_m6_a1ae1b370c737eed", + "dataset_id": "m6", + "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=Revenue, condition_col=Weekend.", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "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": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_0e2e66f862cc66c8.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_0e2e66f862cc66c8", + "api_calls": 0, + "input_tokens": 15143, + "cached_input_tokens": 13696, + "output_tokens": 482, + "total_tokens": 15625, + "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": 19221.38, + "sql_execution_elapsed_ms_total": 8.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56c8a54181275a8a6b1129a7b5e7e892b0ea2998 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:32.717390+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": 19221.38, "started_at": "2026-05-19T15:40:13.494816+00:00", "ended_at": "2026-05-19T15:40:32.716226+00:00", "prompt_metrics": {"chars": 11214, "bytes_utf8": 11214, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 658, "bytes_utf8": 658, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15143, "cached_input_tokens": 13696, "output_tokens": 482, "reasoning_output_tokens": 301}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Revenue\\\",\\n SUM(CASE WHEN \\\"Weekend\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Revenue\\\"\\n)\\nSELECT \\\"Revenue\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each Revenue group, the ratio of rows with Weekend='FALSE' to rows with Weekend='TRUE'. The ratio is NULL when a group has no Weekend='TRUE' rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..655edd898cb096b70cbcd6444240580ae2fb3348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_0e2e66f862cc66c8", + "api_calls": 0, + "input_tokens": 15143, + "cached_input_tokens": 13696, + "output_tokens": 482, + "total_tokens": 15625, + "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": 19221.38, + "sql_execution_elapsed_ms_total": 8.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..008c1f5a5458c235752d682e741ebf07a0be943e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/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=Administrative, group_col_2=SpecialDay. +Result preview: [{"Administrative": "0", "SpecialDay": "0", "row_count": 4950}, {"Administrative": "1", "SpecialDay": "0", "row_count": 1246}, {"Administrative": "2", "SpecialDay": "0", "row_count": 1023}, {"Administrative": "3", "SpecialDay": "0", "row_count": 860}, {"Administrative": "4", "SpecialDay": "0", "row_count": 724}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3bb053e9121f36fe8385f5b5b6487bdf5f5a362e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_11d5f0d2df725d51 +-- problem_id: v2p_m6_4dbe694fddb34f69 +-- realization_mode: agent +-- source_kind: agent +SELECT "Administrative", "SpecialDay", COUNT(*) AS row_count +FROM "m6" +WHERE CAST("Informational" AS REAL) >= 0.0 +GROUP BY "Administrative", "SpecialDay" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..da61b2bacd4a9fc2e3fc493f51f6ab9804b99bd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/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 \"Administrative\", \"SpecialDay\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Informational\" AS REAL) >= 0.0\nGROUP BY \"Administrative\", \"SpecialDay\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Administrative\\\", \\\"SpecialDay\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Informational\\\" AS REAL) >= 0.0\\nGROUP BY \\\"Administrative\\\", \\\"SpecialDay\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Administrative\", \"SpecialDay\", \"row_count\"], \"rows\": [{\"Administrative\": \"0\", \"SpecialDay\": \"0\", \"row_count\": 4950}, {\"Administrative\": \"1\", \"SpecialDay\": \"0\", \"row_count\": 1246}, {\"Administrative\": \"2\", \"SpecialDay\": \"0\", \"row_count\": 1023}, {\"Administrative\": \"3\", \"SpecialDay\": \"0\", \"row_count\": 860}, {\"Administrative\": \"4\", \"SpecialDay\": \"0\", \"row_count\": 724}, {\"Administrative\": \"5\", \"SpecialDay\": \"0\", \"row_count\": 538}, {\"Administrative\": \"6\", \"SpecialDay\": \"0\", \"row_count\": 403}, {\"Administrative\": \"7\", \"SpecialDay\": \"0\", \"row_count\": 324}, {\"Administrative\": \"8\", \"SpecialDay\": \"0\", \"row_count\": 270}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.6\", \"row_count\": 238}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.8\", \"row_count\": 231}, {\"Administrative\": \"9\", \"SpecialDay\": \"0\", \"row_count\": 215}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.4\", \"row_count\": 156}, {\"Administrative\": \"10\", \"SpecialDay\": \"0\", \"row_count\": 139}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.2\", \"row_count\": 100}, {\"Administrative\": \"11\", \"SpecialDay\": \"0\", \"row_count\": 99}, {\"Administrative\": \"0\", \"SpecialDay\": \"1\", \"row_count\": 93}, {\"Administrative\": \"12\", \"SpecialDay\": \"0\", \"row_count\": 82}, {\"Administrative\": \"13\", \"SpecialDay\": \"0\", \"row_count\": 56}, {\"Administrative\": \"14\", \"SpecialDay\": \"0\", \"row_count\": 41}, {\"Administrative\": \"15\", \"SpecialDay\": \"0\", \"row_count\": 38}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.6\", \"row_count\": 32}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.4\", \"row_count\": 29}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.8\", \"row_count\": 27}, {\"Administrative\": \"16\", \"SpecialDay\": \"0\", \"row_count\": 23}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.8\", \"row_count\": 21}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.6\", \"row_count\": 20}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.2\", \"row_count\": 18}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.2\", \"row_count\": 14}, {\"Administrative\": \"17\", \"SpecialDay\": \"0\", \"row_count\": 14}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.4\", \"row_count\": 14}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.6\", \"row_count\": 14}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.8\", \"row_count\": 13}, {\"Administrative\": \"1\", \"SpecialDay\": \"1\", \"row_count\": 12}, {\"Administrative\": \"18\", \"SpecialDay\": \"0\", \"row_count\": 12}, {\"Administrative\": \"2\", \"SpecialDay\": \"1\", \"row_count\": 12}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.4\", \"row_count\": 10}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.4\", \"row_count\": 10}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.6\", \"row_count\": 10}, {\"Administrative\": \"5\", \"SpecialDay\": \"0.6\", \"row_count\": 10}, {\"Administrative\": \"6\", \"SpecialDay\": \"0.6\", \"row_count\": 10}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.2\", \"row_count\": 9}, {\"Administrative\": \"3\", \"SpecialDay\": \"1\", \"row_count\": 9}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.2\", \"row_count\": 8}, {\"Administrative\": \"5\", \"SpecialDay\": \"0.8\", \"row_count\": 8}, {\"Administrative\": \"4\", \"SpecialDay\": \"1\", \"row_count\": 7}, {\"Administrative\": \"5\", \"SpecialDay\": \"0.2\", \"row_count\": 7}, {\"Administrative\": \"5\", \"SpecialDay\": \"1\", \"row_count\": 7}, {\"Administrative\": \"19\", \"SpecialDay\": \"0\", \"row_count\": 6}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.8\", \"row_count\": 6}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5e698bdb99eb0d3df3230558cb8c832f57d4dcc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:42:30.876640+00:00", + "ended_at": "2026-05-19T15:42:42.706168+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_11d5f0d2df725d51", + "problem_id": "v2p_m6_4dbe694fddb34f69", + "dataset_id": "m6", + "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=Administrative, group_col_2=SpecialDay.", + "bindings": { + "group_col": "Administrative", + "group_col_2": "SpecialDay", + "predicate_col": "Informational", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_11d5f0d2df725d51.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_11d5f0d2df725d51", + "api_calls": 0, + "input_tokens": 15030, + "cached_input_tokens": 12032, + "output_tokens": 361, + "total_tokens": 15391, + "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": 11811.53, + "sql_execution_elapsed_ms_total": 12.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..82d075fd2809842fb7a97f2ed0bc9458a2ff110c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:42.690459+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": 11811.53, "started_at": "2026-05-19T15:42:30.877906+00:00", "ended_at": "2026-05-19T15:42:42.689464+00:00", "prompt_metrics": {"chars": 10728, "bytes_utf8": 10728, "lines": 316, "estimated_tokens": null}, "response_metrics": {"chars": 521, "bytes_utf8": 521, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15030, "cached_input_tokens": 12032, "output_tokens": 361, "reasoning_output_tokens": 234}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Administrative\\\", \\\"SpecialDay\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Informational\\\" AS REAL) >= 0.0\\nGROUP BY \\\"Administrative\\\", \\\"SpecialDay\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"Administrative\\\", group_col_2=\\\"SpecialDay\\\", and predicate_col=\\\"Informational\\\". Applied CAST(... AS REAL) because the schema snapshot stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4de60b165758a17546575f90a73ffc015463ba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_11d5f0d2df725d51", + "api_calls": 0, + "input_tokens": 15030, + "cached_input_tokens": 12032, + "output_tokens": 361, + "total_tokens": 15391, + "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": 11811.53, + "sql_execution_elapsed_ms_total": 12.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06a067f5172a4cfa7147445c3195e0b81a122f4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:55.505518+00:00", + "ended_at": "2026-05-19T16:06:58.280078+00:00", + "elapsed_ms": 2774.54, + "returncode": 1, + "prompt_metrics": { + "chars": 10491, + "bytes_utf8": 10491, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9443a2fb9f11a6325278521bf0e79b8fecb76f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:59.281840+00:00", + "ended_at": "2026-05-19T16:07:02.134653+00:00", + "elapsed_ms": 2852.77, + "returncode": 1, + "prompt_metrics": { + "chars": 10491, + "bytes_utf8": 10491, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ecfa6f24cd5c64c2e8c44ba307d0569e90de5e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=ExitRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Informational", + "measure_col": "ExitRates", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ecfa6f24cd5c64c2e8c44ba307d0569e90de5e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=ExitRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Informational", + "measure_col": "ExitRates", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..656c740ce9c5a76433394e32df09b8046db688d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8021-7240-9c71-a3fafe0fd9ba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8353459613456e2e00a63487d04f8515af88d7e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8021-7240-9c71-a3fafe0fd9ba"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1310e0ef9306338e41968d39756f8619b42284eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8eca-7021-8283-40e83d8f92d8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6eaf877751d93b536e9e164ea06d02597fe22c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8eca-7021-8283-40e83d8f92d8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec986330e6183d76b9c3c52093924d2e9d4f14f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/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=Region, measure_col=Administrative. +Result preview: [{"Region": "8", "Informational_Duration": "0", "total_measure": 719.0, "share_within_group": 66.75951717734448}, {"Region": "5", "Informational_Duration": "0", "total_measure": 502.0, "share_within_group": 64.11238825031928}, {"Region": "9", "Informational_Duration": "0", "total_measure": 645.0, "share_within_group": 61.37012369172217}, {"Region": "6", "Informational_Duration": "0", "total_measure": 1005.0, "share_within_group": 60.725075528700906}, {"Region": "4", "Informational_Duration": "0", "total_measure": 1631.0, "share_within_group": 59.91917707567965}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eec749e95807df9d2dbe2208ab5ebbac84894ca2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_197bcfd76a92d4d0 +-- problem_id: v2p_m6_85b71d5c3a07d2d6 +-- realization_mode: agent +-- source_kind: agent +SELECT "Region", "Informational_Duration", + SUM(CAST("Administrative" AS REAL)) AS total_measure, + SUM(CAST("Administrative" AS REAL)) * 100.0 / SUM(SUM(CAST("Administrative" AS REAL))) OVER (PARTITION BY "Region") AS share_within_group +FROM "m6" +GROUP BY "Region", "Informational_Duration" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..42bed4ef5910ba5b54b281df3ca9393897607ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/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 \"Region\", \"Informational_Duration\",\n SUM(CAST(\"Administrative\" AS REAL)) AS total_measure,\n SUM(CAST(\"Administrative\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative\" AS REAL))) OVER (PARTITION BY \"Region\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Region\", \"Informational_Duration\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Region\\\", \\\"Informational_Duration\\\",\\n SUM(CAST(\\\"Administrative\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative\\\" AS REAL))) OVER (PARTITION BY \\\"Region\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\", \\\"Informational_Duration\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Region\", \"Informational_Duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Region\": \"8\", \"Informational_Duration\": \"0\", \"total_measure\": 719.0, \"share_within_group\": 66.75951717734448}, {\"Region\": \"5\", \"Informational_Duration\": \"0\", \"total_measure\": 502.0, \"share_within_group\": 64.11238825031928}, {\"Region\": \"9\", \"Informational_Duration\": \"0\", \"total_measure\": 645.0, \"share_within_group\": 61.37012369172217}, {\"Region\": \"6\", \"Informational_Duration\": \"0\", \"total_measure\": 1005.0, \"share_within_group\": 60.725075528700906}, {\"Region\": \"4\", \"Informational_Duration\": \"0\", \"total_measure\": 1631.0, \"share_within_group\": 59.91917707567965}, {\"Region\": \"7\", \"Informational_Duration\": \"0\", \"total_measure\": 1071.0, \"share_within_group\": 59.765625}, {\"Region\": \"2\", \"Informational_Duration\": \"0\", \"total_measure\": 1626.0, \"share_within_group\": 59.53863053826437}, {\"Region\": \"3\", \"Informational_Duration\": \"0\", \"total_measure\": 3494.0, \"share_within_group\": 59.44198707043212}, {\"Region\": \"1\", \"Informational_Duration\": \"0\", \"total_measure\": 6297.0, \"share_within_group\": 57.999447361149485}, {\"Region\": \"5\", \"Informational_Duration\": \"625.5\", \"total_measure\": 24.0, \"share_within_group\": 3.0651340996168583}, {\"Region\": \"9\", \"Informational_Duration\": \"11\", \"total_measure\": 27.0, \"share_within_group\": 2.5689819219790677}, {\"Region\": \"5\", \"Informational_Duration\": \"18\", \"total_measure\": 15.0, \"share_within_group\": 1.9157088122605364}, {\"Region\": \"9\", \"Informational_Duration\": \"51.4\", \"total_measure\": 19.0, \"share_within_group\": 1.8078020932445291}, {\"Region\": \"5\", \"Informational_Duration\": \"3\", \"total_measure\": 13.0, \"share_within_group\": 1.6602809706257982}, {\"Region\": \"5\", \"Informational_Duration\": \"85\", \"total_measure\": 13.0, \"share_within_group\": 1.6602809706257982}, {\"Region\": \"6\", \"Informational_Duration\": \"28\", \"total_measure\": 25.0, \"share_within_group\": 1.5105740181268883}, {\"Region\": \"8\", \"Informational_Duration\": \"199.4\", \"total_measure\": 16.0, \"share_within_group\": 1.4856081708449396}, {\"Region\": \"5\", \"Informational_Duration\": \"109.8\", \"total_measure\": 11.0, \"share_within_group\": 1.40485312899106}, {\"Region\": \"5\", \"Informational_Duration\": \"6\", \"total_measure\": 11.0, \"share_within_group\": 1.40485312899106}, {\"Region\": \"5\", \"Informational_Duration\": \"70\", \"total_measure\": 11.0, \"share_within_group\": 1.40485312899106}, {\"Region\": \"8\", \"Informational_Duration\": \"48.35\", \"total_measure\": 15.0, \"share_within_group\": 1.392757660167131}, {\"Region\": \"9\", \"Informational_Duration\": \"449.3333333\", \"total_measure\": 14.0, \"share_within_group\": 1.3320647002854424}, {\"Region\": \"7\", \"Informational_Duration\": \"12\", \"total_measure\": 23.0, \"share_within_group\": 1.2834821428571428}, {\"Region\": \"5\", \"Informational_Duration\": \"38.2\", \"total_measure\": 10.0, \"share_within_group\": 1.277139208173691}, {\"Region\": \"5\", \"Informational_Duration\": \"86\", \"total_measure\": 10.0, \"share_within_group\": 1.277139208173691}, {\"Region\": \"9\", \"Informational_Duration\": \"102.8\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"9\", \"Informational_Duration\": \"12\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"9\", \"Informational_Duration\": \"22.5\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"9\", \"Informational_Duration\": \"368.1547619\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"7\", \"Informational_Duration\": \"20\", \"total_measure\": 22.0, \"share_within_group\": 1.2276785714285714}, {\"Region\": \"7\", \"Informational_Duration\": \"84.8\", \"total_measure\": 21.0, \"share_within_group\": 1.171875}, {\"Region\": \"5\", \"Informational_Duration\": \"124.2\", \"total_measure\": 9.0, \"share_within_group\": 1.1494252873563218}, {\"Region\": \"5\", \"Informational_Duration\": \"177.8\", \"total_measure\": 9.0, \"share_within_group\": 1.1494252873563218}, {\"Region\": \"5\", \"Informational_Duration\": \"302\", \"total_measure\": 9.0, \"share_within_group\": 1.1494252873563218}, {\"Region\": \"9\", \"Informational_Duration\": \"8\", \"total_measure\": 12.0, \"share_within_group\": 1.141769743101808}, {\"Region\": \"8\", \"Informational_Duration\": \"276.08\", \"total_measure\": 12.0, \"share_within_group\": 1.1142061281337048}, {\"Region\": \"6\", \"Informational_Duration\": \"114.3333333\", \"total_measure\": 18.0, \"share_within_group\": 1.0876132930513596}, {\"Region\": \"6\", \"Informational_Duration\": \"52.4\", \"total_measure\": 18.0, \"share_within_group\": 1.0876132930513596}, {\"Region\": \"6\", \"Informational_Duration\": \"70.25\", \"total_measure\": 18.0, \"share_within_group\": 1.0876132930513596}, {\"Region\": \"7\", \"Informational_Duration\": \"9\", \"total_measure\": 19.0, \"share_within_group\": 1.0602678571428572}, {\"Region\": \"9\", \"Informational_Duration\": \"32\", \"total_measure\": 11.0, \"share_within_group\": 1.0466222645099905}, {\"Region\": \"9\", \"Informational_Duration\": \"34\", \"total_measure\": 11.0, \"share_within_group\": 1.0466222645099905}, {\"Region\": \"5\", \"Informational_Duration\": \"1652\", \"total_measure\": 8.0, \"share_within_group\": 1.0217113665389528}, {\"Region\": \"5\", \"Informational_Duration\": \"36.33333333\", \"total_measure\": 8.0, \"share_within_group\": 1.0217113665389528}, {\"Region\": \"5\", \"Informational_Duration\": \"57\", \"total_measure\": 8.0, \"share_within_group\": 1.0217113665389528}, {\"Region\": \"8\", \"Informational_Duration\": \"104\", \"total_measure\": 11.0, \"share_within_group\": 1.021355617455896}, {\"Region\": \"8\", \"Informational_Duration\": \"35.7\", \"total_measure\": 11.0, \"share_within_group\": 1.021355617455896}, {\"Region\": \"7\", \"Informational_Duration\": \"26\", \"total_measure\": 18.0, \"share_within_group\": 1.0044642857142858}, {\"Region\": \"2\", \"Informational_Duration\": \"503.7222222\", \"total_measure\": 26.0, \"share_within_group\": 0.9520322226290736}, {\"Region\": \"9\", \"Informational_Duration\": \"147\", \"total_measure\": 10.0, \"share_within_group\": 0.9514747859181731}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e89b2af440e4eb40db0c57f28219d3780fef1f6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:35:36.041655+00:00", + "ended_at": "2026-05-19T15:35:46.213667+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_197bcfd76a92d4d0", + "problem_id": "v2p_m6_85b71d5c3a07d2d6", + "dataset_id": "m6", + "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=Region, measure_col=Administrative.", + "bindings": { + "group_col": "Region", + "measure_col": "Administrative", + "item_col": "Informational_Duration", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_197bcfd76a92d4d0.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_197bcfd76a92d4d0", + "api_calls": 0, + "input_tokens": 15054, + "cached_input_tokens": 13696, + "output_tokens": 492, + "total_tokens": 15546, + "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": 10147.22, + "sql_execution_elapsed_ms_total": 16.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20097dbddf87d8c033c90457570f9fd7244380ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:46.191157+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": 10147.22, "started_at": "2026-05-19T15:35:36.043148+00:00", "ended_at": "2026-05-19T15:35:46.190388+00:00", "prompt_metrics": {"chars": 10829, "bytes_utf8": 10829, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15054, "cached_input_tokens": 13696, "output_tokens": 492, "reasoning_output_tokens": 327}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Region\\\", \\\"Informational_Duration\\\",\\n SUM(CAST(\\\"Administrative\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative\\\" AS REAL))) OVER (PARTITION BY \\\"Region\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\", \\\"Informational_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"Region\\\", item_col=\\\"Informational_Duration\\\", and measure_col=\\\"Administrative\\\". Cast \\\"Administrative\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fc21e4b74da82fab1631ba6ea9d58450207f5d0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_197bcfd76a92d4d0", + "api_calls": 0, + "input_tokens": 15054, + "cached_input_tokens": 13696, + "output_tokens": 492, + "total_tokens": 15546, + "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": 10147.22, + "sql_execution_elapsed_ms_total": 16.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e90948432d8286a226419fd2b2417cc174bf030 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/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=Revenue, condition_col=Weekend. +Result preview: [{"Revenue": "TRUE", "condition_rate": 0.26153039832285113}, {"Revenue": "FALSE", "condition_rate": 0.22730761849932835}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..302517664e9efd65e62f875472c5b962919c21bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_1e24eb96b29e4309 +-- problem_id: v2p_m6_9629fadcd13cfbf6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Revenue", + AVG(CASE WHEN "Weekend" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate +FROM "m6" +GROUP BY "Revenue" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff39bbe4a43cf7ed8f554e166d26d076496184ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/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\n \"Revenue\",\n AVG(CASE WHEN \"Weekend\" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Revenue\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Revenue\\\",\\n AVG(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Revenue\", \"condition_rate\"], \"rows\": [{\"Revenue\": \"TRUE\", \"condition_rate\": 0.26153039832285113}, {\"Revenue\": \"FALSE\", \"condition_rate\": 0.22730761849932835}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7356ecc1c35078cfaae8bb7cc9c2e98281339580 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:00:02.519012+00:00", + "ended_at": "2026-05-19T16:00:16.011722+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_1e24eb96b29e4309", + "problem_id": "v2p_m6_9629fadcd13cfbf6", + "dataset_id": "m6", + "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=Revenue, condition_col=Weekend.", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_1e24eb96b29e4309.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1e24eb96b29e4309", + "api_calls": 0, + "input_tokens": 14994, + "cached_input_tokens": 12032, + "output_tokens": 328, + "total_tokens": 15322, + "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": 12473.09, + "sql_execution_elapsed_ms_total": 10.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd4533ef55a46ebc777568247bcf7191fcf32137 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:05.391550+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": 2869.78, "started_at": "2026-05-19T16:00:02.520987+00:00", "ended_at": "2026-05-19T16:00:05.390801+00:00", "prompt_metrics": {"chars": 10650, "bytes_utf8": 10650, "lines": 315, "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\":\"019e40f7-32f8-7ca1-9a47-8282c31374ed\"}\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": "2026-05-19T16:00:15.998114+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": 9603.31, "started_at": "2026-05-19T16:00:06.393032+00:00", "ended_at": "2026-05-19T16:00:15.996397+00:00", "prompt_metrics": {"chars": 10650, "bytes_utf8": 10650, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14994, "cached_input_tokens": 12032, "output_tokens": 328, "reasoning_output_tokens": 228}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Revenue\\\",\\n AVG(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Groups rows by \\\"Revenue\\\" and computes the rate of records where \\\"Weekend\\\" is 'TRUE' within each revenue group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..38434c2b37a7d300eb5fb676656df515750699d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1e24eb96b29e4309", + "api_calls": 0, + "input_tokens": 14994, + "cached_input_tokens": 12032, + "output_tokens": 328, + "total_tokens": 15322, + "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": 12473.09, + "sql_execution_elapsed_ms_total": 10.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..79a1e9e4f391c4e93215dfbfc2308dc7f8a84196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/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=Region, measure_col=BounceRates. +Result preview: [{"Region": "1", "total_measure": 105.589241752}, {"Region": "3", "total_measure": 54.006239033}, {"Region": "4", "total_measure": 27.39423404}, {"Region": "2", "total_measure": 25.998817111}, {"Region": "6", "total_measure": 19.095766575}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9b511fa7326892b32e483cf7f7651e0dff147cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_1e5e7a862d5a8989 +-- problem_id: v2p_m6_98c02121d7a2e015 +-- realization_mode: agent +-- source_kind: agent +SELECT "Region", SUM(CAST("BounceRates" AS REAL)) AS total_measure +FROM "m6" +GROUP BY "Region" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f37e8d41f8488016d49c815593c4d0a769ce5dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/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 \"Region\", SUM(CAST(\"BounceRates\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Region\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Region\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Region\", \"total_measure\"], \"rows\": [{\"Region\": \"1\", \"total_measure\": 105.589241752}, {\"Region\": \"3\", \"total_measure\": 54.006239033}, {\"Region\": \"4\", \"total_measure\": 27.39423404}, {\"Region\": \"2\", \"total_measure\": 25.998817111}, {\"Region\": \"6\", \"total_measure\": 19.095766575}, {\"Region\": \"7\", \"total_measure\": 15.514705054}, {\"Region\": \"9\", \"total_measure\": 11.094416348000001}, {\"Region\": \"8\", \"total_measure\": 8.342854154}, {\"Region\": \"5\", \"total_measure\": 6.583447137}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff3168b8930a98709471255985d3b379c9813f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:30:33.678402+00:00", + "ended_at": "2026-05-19T15:30:50.405926+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_1e5e7a862d5a8989", + "problem_id": "v2p_m6_98c02121d7a2e015", + "dataset_id": "m6", + "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=Region, measure_col=BounceRates.", + "bindings": { + "group_col": "Region", + "measure_col": "BounceRates", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_b/m6/sql/v2q_m6_1e5e7a862d5a8989.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1e5e7a862d5a8989", + "api_calls": 0, + "input_tokens": 14936, + "cached_input_tokens": 12032, + "output_tokens": 283, + "total_tokens": 15219, + "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": 16708.27, + "sql_execution_elapsed_ms_total": 13.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6dc89a910b20a2877188cd1f9fb9fa3a7418237b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:50.389483+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": 16708.27, "started_at": "2026-05-19T15:30:33.679840+00:00", "ended_at": "2026-05-19T15:30:50.388145+00:00", "prompt_metrics": {"chars": 10405, "bytes_utf8": 10405, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 337, "bytes_utf8": 337, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14936, "cached_input_tokens": 12032, "output_tokens": 283, "reasoning_output_tokens": 192}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Region\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"Region\\\" as the grouping column and cast \\\"BounceRates\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6bd625325539e902f18dddaca0ea7d7503cd6863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1e5e7a862d5a8989", + "api_calls": 0, + "input_tokens": 14936, + "cached_input_tokens": 12032, + "output_tokens": 283, + "total_tokens": 15219, + "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": 16708.27, + "sql_execution_elapsed_ms_total": 13.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..30df7042d97e7680857720404716ecf69e3a3214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/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=Weekend, measure_col=Informational_Duration. +Result preview: [{"Weekend": "FALSE", "BounceRates": "0", "total_measure": 77039.49166673, "share_within_group": 24.970339699437414}, {"Weekend": "TRUE", "BounceRates": "0", "total_measure": 26529.27857144, "share_within_group": 22.767874679012014}, {"Weekend": "TRUE", "BounceRates": "0.009677419", "total_measure": 2252.033333, "share_within_group": 1.9327330202601358}, {"Weekend": "TRUE", "BounceRates": "0.003571429", "total_measure": 2208.9, "share_within_group": 1.895715265797362}, {"Weekend": "TRUE", "BounceRates": "0.004851285", "total_measure": 2050.433333, "share_within_group": 1.759716497291804}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..15f9ede179367269a1c0d080364135be5f0d260f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_20323614aba6894c +-- problem_id: v2p_m6_36c9cb87111f5e40 +-- realization_mode: agent +-- source_kind: agent +SELECT "Weekend", "BounceRates", + SUM(CAST("Informational_Duration" AS REAL)) AS "total_measure", + SUM(CAST("Informational_Duration" AS REAL)) * 100.0 / SUM(SUM(CAST("Informational_Duration" AS REAL))) OVER (PARTITION BY "Weekend") AS "share_within_group" +FROM "m6" +GROUP BY "Weekend", "BounceRates" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0171c382eb85a457fe95af6299542cc3580cd7da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/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 \"Weekend\", \"BounceRates\",\n SUM(CAST(\"Informational_Duration\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Informational_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Informational_Duration\" AS REAL))) OVER (PARTITION BY \"Weekend\") AS \"share_within_group\"\nFROM \"m6\"\nGROUP BY \"Weekend\", \"BounceRates\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Weekend\\\", \\\"BounceRates\\\",\\n SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"Weekend\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\", \\\"BounceRates\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Weekend\", \"BounceRates\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Weekend\": \"FALSE\", \"BounceRates\": \"0\", \"total_measure\": 77039.49166673, \"share_within_group\": 24.970339699437414}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0\", \"total_measure\": 26529.27857144, \"share_within_group\": 22.767874679012014}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.009677419\", \"total_measure\": 2252.033333, \"share_within_group\": 1.9327330202601358}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.003571429\", \"total_measure\": 2208.9, \"share_within_group\": 1.895715265797362}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.004851285\", \"total_measure\": 2050.433333, \"share_within_group\": 1.759716497291804}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.006896552\", \"total_measure\": 1968.5, \"share_within_group\": 1.6893999278926646}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.015384615\", \"total_measure\": 1907.8, \"share_within_group\": 1.6373061632886083}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.002\", \"total_measure\": 1839.25, \"share_within_group\": 1.5784753961780968}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.003294118\", \"total_measure\": 1830.5, \"share_within_group\": 1.5709659984798185}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.002883379\", \"total_measure\": 1778.0, \"share_within_group\": 1.5259096122901488}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.008181818\", \"total_measure\": 1494.5, \"share_within_group\": 1.2826051268659322}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.016666667\", \"total_measure\": 1463.6, \"share_within_group\": 1.2560862252800122}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.005714286\", \"total_measure\": 3676.0333333, \"share_within_group\": 1.1914902226515744}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.003125\", \"total_measure\": 1357.0833333, \"share_within_group\": 1.1646718239376972}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.001290323\", \"total_measure\": 1193.125, \"share_within_group\": 1.0239600147152328}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.009530632\", \"total_measure\": 1174.0, \"share_within_group\": 1.007546616888996}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.004761905\", \"total_measure\": 1173.7166667000001, \"share_within_group\": 1.0073034554683256}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.02\", \"total_measure\": 3035.0, \"share_within_group\": 0.9837160052358027}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.008\", \"total_measure\": 1135.725, \"share_within_group\": 0.974698365814527}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.014285714\", \"total_measure\": 1133.9, \"share_within_group\": 0.9731321200088863}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.014979592\", \"total_measure\": 1093.3, \"share_within_group\": 0.938288514688875}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.000980392\", \"total_measure\": 1069.5066667, \"share_within_group\": 0.9178686744240306}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.016666667\", \"total_measure\": 2749.6666667, \"share_within_group\": 0.8912326553858878}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.008844998\", \"total_measure\": 1024.25, \"share_within_group\": 0.8790286391384616}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.02173913\", \"total_measure\": 1009.733333, \"share_within_group\": 0.866570190480579}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.007542901\", \"total_measure\": 991.25, \"share_within_group\": 0.850707482104955}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.006666667\", \"total_measure\": 972.48, \"share_within_group\": 0.8345987512710483}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.000764406\", \"total_measure\": 2549.375, \"share_within_group\": 0.8263133413008318}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.003703704\", \"total_measure\": 942.9, \"share_within_group\": 0.8092126959664686}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.010869565\", \"total_measure\": 930.0, \"share_within_group\": 0.798141698217007}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.014132104\", \"total_measure\": 886.5, \"share_within_group\": 0.7608092639455662}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.00376506\", \"total_measure\": 886.25, \"share_within_group\": 0.7605947097256155}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.006451613\", \"total_measure\": 876.3333333, \"share_within_group\": 0.7520840589722929}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.000123762\", \"total_measure\": 853.75, \"share_within_group\": 0.7327026611320104}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.002988954\", \"total_measure\": 2256.916667, \"share_within_group\": 0.7315206088340502}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.02962963\", \"total_measure\": 2201.3, \"share_within_group\": 0.7134939183939285}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.003921569\", \"total_measure\": 802.5, \"share_within_group\": 0.6887190460420947}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.013131313\", \"total_measure\": 759.5, \"share_within_group\": 0.6518157202105557}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.014155251\", \"total_measure\": 759.0, \"share_within_group\": 0.651386611770654}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.010810811\", \"total_measure\": 742.0, \"share_within_group\": 0.6367969248139991}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.005315857\", \"total_measure\": 1949.166667, \"share_within_group\": 0.6317714817792501}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.006631763\", \"total_measure\": 733.8, \"share_within_group\": 0.6297595463996125}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.009444444\", \"total_measure\": 725.5, \"share_within_group\": 0.6226363462972457}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.008333333\", \"total_measure\": 1920.85, \"share_within_group\": 0.622593373527905}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.005882353\", \"total_measure\": 711.36666667, \"share_within_group\": 0.6105068810655541}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.014285714\", \"total_measure\": 1881.15, \"share_within_group\": 0.6097256551068634}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.02\", \"total_measure\": 707.4, \"share_within_group\": 0.6071026207728072}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.001869159\", \"total_measure\": 706.6, \"share_within_group\": 0.6064160472689646}, {\"Weekend\": \"FALSE\", \"BounceRates\": \"0.002857143\", \"total_measure\": 1867.95, \"share_within_group\": 0.6054472197628394}, {\"Weekend\": \"TRUE\", \"BounceRates\": \"0.012\", \"total_measure\": 704.25, \"share_within_group\": 0.604399237601427}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c5f83d17eefca09416a13530f34bc3ad8d71397b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:37:08.879615+00:00", + "ended_at": "2026-05-19T15:37:23.466861+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_20323614aba6894c", + "problem_id": "v2p_m6_36c9cb87111f5e40", + "dataset_id": "m6", + "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=Weekend, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational_Duration", + "item_col": "BounceRates", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=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_b/m6/sql/v2q_m6_20323614aba6894c.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_20323614aba6894c", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 13696, + "output_tokens": 688, + "total_tokens": 15746, + "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": 14568.03, + "sql_execution_elapsed_ms_total": 15.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d13112cfe0aeb9a8b0bd40546868aac2dc4a6f97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:23.449981+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": 14568.03, "started_at": "2026-05-19T15:37:08.881187+00:00", "ended_at": "2026-05-19T15:37:23.449238+00:00", "prompt_metrics": {"chars": 10838, "bytes_utf8": 10838, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 13696, "output_tokens": 688, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Weekend\\\", \\\"BounceRates\\\",\\n SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"Weekend\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\", \\\"BounceRates\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the required template with group_col=\\\"Weekend\\\", item_col=\\\"BounceRates\\\", and measure_col=\\\"Informational_Duration\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..40c395d882409894d611470cfc253d0f5e3401bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_20323614aba6894c", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 13696, + "output_tokens": 688, + "total_tokens": 15746, + "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": 14568.03, + "sql_execution_elapsed_ms_total": 15.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_235ed939dec2557b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_235ed939dec2557b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..48309bab79907593c05e2a77cb891a20b1766e41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_235ed939dec2557b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:06:34.515050+00:00", + "ended_at": "2026-05-19T16:06:41.392075+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_235ed939dec2557b", + "problem_id": "v2p_m6_2628e4a045292766", + "dataset_id": "m6", + "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=Region.", + "bindings": { + "group_col": "Region", + "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": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "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_b/m6/artifacts/v2q_m6_235ed939dec2557b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_235ed939dec2557b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2912b3fd05daa8a3b80c96f9f95e721219846626 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_235ed939dec2557b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:37.540629+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": 3023.51, "started_at": "2026-05-19T16:06:34.516368+00:00", "ended_at": "2026-05-19T16:06:37.539909+00:00", "prompt_metrics": {"chars": 10389, "bytes_utf8": 10389, "lines": 310, "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-2e2b-75c0-8ecc-1ebb72dfb6f3\"}\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": "2026-05-19T16:06:41.391967+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": 2848.94, "started_at": "2026-05-19T16:06:38.542166+00:00", "ended_at": "2026-05-19T16:06:41.391159+00:00", "prompt_metrics": {"chars": 10389, "bytes_utf8": 10389, "lines": 310, "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-3dcd-7b10-97f6-3edf3661e0ea\"}\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_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..560d3108133830a4e3747826e7dfcb2834609e9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11207, "bytes_utf8": 11207, "lines": 315, "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": 646, "bytes_utf8": 646, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15142, "cached_input_tokens": 13696, "output_tokens": 461, "reasoning_output_tokens": 286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..02b111dbebe904f0de446bf6100eff73739056f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_26aec27895e2e373", + "api_calls": 0, + "input_tokens": 15142, + "cached_input_tokens": 13696, + "output_tokens": 461, + "total_tokens": 15603, + "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": 19051.33, + "sql_execution_elapsed_ms_total": 6.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a09df05290ba31f19983d0d8e71304fcf9c3529a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/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": "2026-05-19T15:39:19.822960+00:00", + "ended_at": "2026-05-19T15:39:38.874318+00:00", + "elapsed_ms": 19051.33, + "prompt_metrics": { + "chars": 11207, + "bytes_utf8": 11207, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1019, + "bytes_utf8": 1019, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 646, + "bytes_utf8": 646, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15142, + "cached_input_tokens": 13696, + "output_tokens": 461, + "reasoning_output_tokens": 286 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22ded1dc7aa0c7c6dc2262eebfd77ad1e98f64c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Region, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Region", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\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_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..78f0407406c87c74655b972eeaf83660567fd5dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-3c97-7b30-8bc9-c6d53c63b03a"} +{"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 \\\"Region\\\",\\n SUM(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Revenue\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Region\\\"\\n)\\nSELECT \\\"Region\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Instantiated the planned grouped-ratio template with \\\"Region\\\" as the group column and the ratio of \\\"Revenue\\\"='FALSE' to \\\"Revenue\\\"='TRUE' for each region.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15142,"cached_input_tokens":13696,"output_tokens":461,"reasoning_output_tokens":286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16de80b4e0396c9c343ec51b64b2fcfecfed791b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Region\",\n SUM(CASE WHEN \"Revenue\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Revenue\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Region\"\n)\nSELECT \"Region\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Instantiated the planned grouped-ratio template with \"Region\" as the group column and the ratio of \"Revenue\"='FALSE' to \"Revenue\"='TRUE' for each region."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26aec27895e2e373/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f427880a84b1f48d890918cdb0482089059dea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2", "support": 6601, "support_share": 0.535360908353609, "cumulative_support": 6601}, {"value_label": "1", "support": 2585, "support_share": 0.20965125709651258, "cumulative_support": 9186}, {"value_label": "3", "support": 2555, "support_share": 0.20721816707218166, "cumulative_support": 11741}, {"value_label": "4", "support": 478, "support_share": 0.03876723438767234, "cumulative_support": 12219}, {"value_label": "8", "support": 79, "support_share": 0.006407137064071371, "cumulative_support": 12298}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..89f2ad4901b8f326520d752d0bfc630e6689f20e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_26b9809d672410d9 +-- problem_id: v2p_m6_5f7deb0240e06e3d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "OperatingSystems" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "OperatingSystems" +), 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_b/m6/artifacts/v2q_m6_26b9809d672410d9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..177df5d202305ab93021f829f738b050f9c68582 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/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_b\n-- sql_source_dataset_id: m6\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_m6_26b9809d672410d9\n-- problem_id: v2p_m6_5f7deb0240e06e3d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"OperatingSystems\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"OperatingSystems\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_26b9809d672410d9\\n-- problem_id: v2p_m6_5f7deb0240e06e3d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"OperatingSystems\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"OperatingSystems\\\"\\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\": \"2\", \"support\": 6601, \"support_share\": 0.535360908353609, \"cumulative_support\": 6601}, {\"value_label\": \"1\", \"support\": 2585, \"support_share\": 0.20965125709651258, \"cumulative_support\": 9186}, {\"value_label\": \"3\", \"support\": 2555, \"support_share\": 0.20721816707218166, \"cumulative_support\": 11741}, {\"value_label\": \"4\", \"support\": 478, \"support_share\": 0.03876723438767234, \"cumulative_support\": 12219}, {\"value_label\": \"8\", \"support\": 79, \"support_share\": 0.006407137064071371, \"cumulative_support\": 12298}, {\"value_label\": \"6\", \"support\": 19, \"support_share\": 0.0015409570154095702, \"cumulative_support\": 12317}, {\"value_label\": \"7\", \"support\": 7, \"support_share\": 0.0005677210056772101, \"cumulative_support\": 12324}, {\"value_label\": \"5\", \"support\": 6, \"support_share\": 0.00048661800486618007, \"cumulative_support\": 12330}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..341b3d00030d0305aa582d344ede2e8b7e830241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.024479+00:00", + "ended_at": "2026-05-19T16:09:18.029805+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_26b9809d672410d9", + "problem_id": "v2p_m6_5f7deb0240e06e3d", + "dataset_id": "m6", + "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=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems" + }, + "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_b/m6/sql/v2q_m6_26b9809d672410d9.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_b/m6/artifacts/v2q_m6_26b9809d672410d9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26b9809d672410d9/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_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1588bd2386afb6887f7e6b58e619e909902411a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/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=Administrative, measure_col=ExitRates. +Result preview: [{"Administrative": 0, "group_value": 377.09616953700004}, {"Administrative": 1, "group_value": 39.081811544}, {"Administrative": 2, "group_value": 29.482435916}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e4e392f4908dc06e01895c3965702360d88f2fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_26ffcdfb2f8aa1a2 +-- problem_id: v2p_m6_ffce5adf4caa4ff2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT CAST("Administrative" AS INTEGER) AS "Administrative", SUM(CAST("ExitRates" AS REAL)) AS "group_value" + FROM "m6" + GROUP BY CAST("Administrative" AS INTEGER) +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."Administrative", 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_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f47ca0a4b873a72e4d5f38f5e4910c6b5aa63d2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/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 CAST(\"Administrative\" AS INTEGER) AS \"Administrative\", SUM(CAST(\"ExitRates\" AS REAL)) AS \"group_value\"\n FROM \"m6\"\n GROUP BY CAST(\"Administrative\" AS INTEGER)\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"Administrative\", 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 CAST(\\\"Administrative\\\" AS INTEGER) AS \\\"Administrative\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n GROUP BY CAST(\\\"Administrative\\\" AS INTEGER)\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"Administrative\\\", 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\": [\"Administrative\", \"group_value\"], \"rows\": [{\"Administrative\": 0, \"group_value\": 377.09616953700004}, {\"Administrative\": 1, \"group_value\": 39.081811544}, {\"Administrative\": 2, \"group_value\": 29.482435916}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b521c8b07a44857eb86c75fb1457e400ccdbf37b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:47:04.675948+00:00", + "ended_at": "2026-05-19T15:47:18.175530+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_26ffcdfb2f8aa1a2", + "problem_id": "v2p_m6_ffce5adf4caa4ff2", + "dataset_id": "m6", + "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=Administrative, measure_col=ExitRates.", + "bindings": { + "group_col": "Administrative", + "measure_col": "ExitRates", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_26ffcdfb2f8aa1a2.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_26ffcdfb2f8aa1a2", + "api_calls": 0, + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 652, + "total_tokens": 15724, + "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": 13482.58, + "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_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19c9024a321c8257a0a7ebdfc7db23498dd8a110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:18.161317+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": 13482.58, "started_at": "2026-05-19T15:47:04.677355+00:00", "ended_at": "2026-05-19T15:47:18.159975+00:00", "prompt_metrics": {"chars": 10970, "bytes_utf8": 10970, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 717, "bytes_utf8": 717, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15072, "cached_input_tokens": 13696, "output_tokens": 652, "reasoning_output_tokens": 467}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT CAST(\\\"Administrative\\\" AS INTEGER) AS \\\"Administrative\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n GROUP BY CAST(\\\"Administrative\\\" AS INTEGER)\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"Administrative\\\", 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=\\\"Administrative\\\" and measure_col=\\\"ExitRates\\\". Casts were added because both columns are stored as TEXT in the SQLite snapshot.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..baa434ce757062ce9c89d7da6915402a7be32cd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_26ffcdfb2f8aa1a2", + "api_calls": 0, + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 652, + "total_tokens": 15724, + "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": 13482.58, + "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_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6638cfcd90d2cfaba3cab51058bf79cefaeec5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/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=TrafficType, group_col_2=VisitorType. +Result preview: [{"TrafficType": "2", "VisitorType": "Returning_Visitor", "row_count": 919}, {"TrafficType": "1", "VisitorType": "Returning_Visitor", "row_count": 831}, {"TrafficType": "3", "VisitorType": "Returning_Visitor", "row_count": 560}, {"TrafficType": "2", "VisitorType": "New_Visitor", "row_count": 339}, {"TrafficType": "4", "VisitorType": "Returning_Visitor", "row_count": 324}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..26bafb8ac31e0ae47c366611c9cafe09852ffa72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_2efadebe21efebe4 +-- problem_id: v2p_m6_a360c7f50744e558 +-- realization_mode: agent +-- source_kind: agent +SELECT "TrafficType", "VisitorType", COUNT(*) AS row_count +FROM "m6" +WHERE CAST("Region" AS REAL) >= 4.0 +GROUP BY "TrafficType", "VisitorType" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..507319699be102e22c57a7b12c39388e461bd913 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/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 \"TrafficType\", \"VisitorType\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Region\" AS REAL) >= 4.0\nGROUP BY \"TrafficType\", \"VisitorType\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"TrafficType\\\", \\\"VisitorType\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Region\\\" AS REAL) >= 4.0\\nGROUP BY \\\"TrafficType\\\", \\\"VisitorType\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"TrafficType\", \"VisitorType\", \"row_count\"], \"rows\": [{\"TrafficType\": \"2\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 919}, {\"TrafficType\": \"1\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 831}, {\"TrafficType\": \"3\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 560}, {\"TrafficType\": \"2\", \"VisitorType\": \"New_Visitor\", \"row_count\": 339}, {\"TrafficType\": \"4\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 324}, {\"TrafficType\": \"13\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 243}, {\"TrafficType\": \"6\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 142}, {\"TrafficType\": \"10\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 124}, {\"TrafficType\": \"11\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 65}, {\"TrafficType\": \"20\", \"VisitorType\": \"Other\", \"row_count\": 52}, {\"TrafficType\": \"8\", \"VisitorType\": \"New_Visitor\", \"row_count\": 52}, {\"TrafficType\": \"20\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 49}, {\"TrafficType\": \"8\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 49}, {\"TrafficType\": \"5\", \"VisitorType\": \"New_Visitor\", \"row_count\": 43}, {\"TrafficType\": \"3\", \"VisitorType\": \"New_Visitor\", \"row_count\": 35}, {\"TrafficType\": \"4\", \"VisitorType\": \"New_Visitor\", \"row_count\": 33}, {\"TrafficType\": \"5\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 30}, {\"TrafficType\": \"11\", \"VisitorType\": \"New_Visitor\", \"row_count\": 17}, {\"TrafficType\": \"6\", \"VisitorType\": \"New_Visitor\", \"row_count\": 17}, {\"TrafficType\": \"1\", \"VisitorType\": \"New_Visitor\", \"row_count\": 15}, {\"TrafficType\": \"20\", \"VisitorType\": \"New_Visitor\", \"row_count\": 11}, {\"TrafficType\": \"15\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 9}, {\"TrafficType\": \"9\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 9}, {\"TrafficType\": \"10\", \"VisitorType\": \"New_Visitor\", \"row_count\": 7}, {\"TrafficType\": \"14\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 6}, {\"TrafficType\": \"7\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 6}, {\"TrafficType\": \"2\", \"VisitorType\": \"Other\", \"row_count\": 4}, {\"TrafficType\": \"3\", \"VisitorType\": \"Other\", \"row_count\": 4}, {\"TrafficType\": \"15\", \"VisitorType\": \"New_Visitor\", \"row_count\": 2}, {\"TrafficType\": \"18\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 2}, {\"TrafficType\": \"19\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 2}, {\"TrafficType\": \"1\", \"VisitorType\": \"Other\", \"row_count\": 1}, {\"TrafficType\": \"13\", \"VisitorType\": \"New_Visitor\", \"row_count\": 1}, {\"TrafficType\": \"13\", \"VisitorType\": \"Other\", \"row_count\": 1}, {\"TrafficType\": \"14\", \"VisitorType\": \"New_Visitor\", \"row_count\": 1}, {\"TrafficType\": \"16\", \"VisitorType\": \"Returning_Visitor\", \"row_count\": 1}, {\"TrafficType\": \"18\", \"VisitorType\": \"New_Visitor\", \"row_count\": 1}, {\"TrafficType\": \"5\", \"VisitorType\": \"Other\", \"row_count\": 1}, {\"TrafficType\": \"6\", \"VisitorType\": \"Other\", \"row_count\": 1}, {\"TrafficType\": \"7\", \"VisitorType\": \"New_Visitor\", \"row_count\": 1}, {\"TrafficType\": \"9\", \"VisitorType\": \"New_Visitor\", \"row_count\": 1}], \"row_count_returned\": 41, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5cfde7017932e15598993d41d6c5cbfc30883f8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:40:55.470369+00:00", + "ended_at": "2026-05-19T15:41:09.629361+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_2efadebe21efebe4", + "problem_id": "v2p_m6_a360c7f50744e558", + "dataset_id": "m6", + "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=TrafficType, group_col_2=VisitorType.", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "VisitorType", + "predicate_col": "Region", + "predicate_op": ">=", + "predicate_value": 4.0, + "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": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_2efadebe21efebe4.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2efadebe21efebe4", + "api_calls": 0, + "input_tokens": 15031, + "cached_input_tokens": 13696, + "output_tokens": 494, + "total_tokens": 15525, + "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": 14151.01, + "sql_execution_elapsed_ms_total": 3.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0adcf01af489b4082c69eda9e23f67f16fd9169a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:09.624084+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": 14151.01, "started_at": "2026-05-19T15:40:55.472259+00:00", "ended_at": "2026-05-19T15:41:09.623292+00:00", "prompt_metrics": {"chars": 10717, "bytes_utf8": 10717, "lines": 316, "estimated_tokens": null}, "response_metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15031, "cached_input_tokens": 13696, "output_tokens": 494, "reasoning_output_tokens": 384}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"TrafficType\\\", \\\"VisitorType\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Region\\\" AS REAL) >= 4.0\\nGROUP BY \\\"TrafficType\\\", \\\"VisitorType\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Filled the planned filtered two-dimensional group count template with TrafficType and VisitorType, and cast Region to REAL because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cb27912a81e64c4dc62b789819685aea2b0fea40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2efadebe21efebe4", + "api_calls": 0, + "input_tokens": 15031, + "cached_input_tokens": 13696, + "output_tokens": 494, + "total_tokens": 15525, + "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": 14151.01, + "sql_execution_elapsed_ms_total": 3.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d31aa3d6b1d60a2637d60b2d1c3b052958dee8e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/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=TrafficType, measure_col=Administrative. +Result preview: [{"TrafficType": "14", "percentile_measure": 8.8}, {"TrafficType": "8", "percentile_measure": 8.0}, {"TrafficType": "5", "percentile_measure": 8.0}, {"TrafficType": "2", "percentile_measure": 8.0}, {"TrafficType": "4", "percentile_measure": 7.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0836e9a8f6351687c5b2ef0d5482e2f01f602d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/generated_sql.sql @@ -0,0 +1,51 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_2f2613f89ad50c37 +-- problem_id: v2p_m6_4e866258dd878c44 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "TrafficType" AS "TrafficType", + CAST(NULLIF("Administrative", '') AS REAL) AS "Administrative_value", + ROW_NUMBER() OVER ( + PARTITION BY "TrafficType" + ORDER BY CAST(NULLIF("Administrative", '') AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "TrafficType") AS "cnt" + FROM "m6" + WHERE NULLIF("Administrative", '') IS NOT NULL + AND NULLIF("TrafficType", '') IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "TrafficType", + (("cnt" - 1) * 0.9) + 1.0 AS "pos", + CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) AS "lower_rn", + CASE + WHEN ((("cnt" - 1) * 0.9) + 1.0) = CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + THEN CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + ELSE CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" +) +SELECT + p."TrafficType", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."Administrative_value" END) + ELSE + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."Administrative_value" END) * (p."upper_rn" - p."pos") + + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."Administrative_value" END) * (p."pos" - p."lower_rn") + END AS "percentile_measure" +FROM "positions" AS p +JOIN "ordered" AS o + ON o."TrafficType" = p."TrafficType" +GROUP BY p."TrafficType" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d10fd887e983ac46f5c8fa715f358ca9a96c701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/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 \"ordered\" AS (\n SELECT\n \"TrafficType\" AS \"TrafficType\",\n CAST(NULLIF(\"Administrative\", '') AS REAL) AS \"Administrative_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"TrafficType\"\n ORDER BY CAST(NULLIF(\"Administrative\", '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"TrafficType\") AS \"cnt\"\n FROM \"m6\"\n WHERE NULLIF(\"Administrative\", '') IS NOT NULL\n AND NULLIF(\"TrafficType\", '') IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"TrafficType\",\n ((\"cnt\" - 1) * 0.9) + 1.0 AS \"pos\",\n CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (((\"cnt\" - 1) * 0.9) + 1.0) = CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n THEN CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n ELSE CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n)\nSELECT\n p.\"TrafficType\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"Administrative_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"Administrative_value\" END) * (p.\"upper_rn\" - p.\"pos\") +\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"Administrative_value\" END) * (p.\"pos\" - p.\"lower_rn\")\n END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ordered\" AS o\n ON o.\"TrafficType\" = p.\"TrafficType\"\nGROUP BY p.\"TrafficType\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"TrafficType\\\" AS \\\"TrafficType\\\",\\n CAST(NULLIF(\\\"Administrative\\\", '') AS REAL) AS \\\"Administrative_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"TrafficType\\\"\\n ORDER BY CAST(NULLIF(\\\"Administrative\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"TrafficType\\\") AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE NULLIF(\\\"Administrative\\\", '') IS NOT NULL\\n AND NULLIF(\\\"TrafficType\\\", '') IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"TrafficType\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.9) + 1.0) = CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n p.\\\"TrafficType\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"Administrative_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"Administrative_value\\\" END) * (p.\\\"upper_rn\\\" - p.\\\"pos\\\") +\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"Administrative_value\\\" END) * (p.\\\"pos\\\" - p.\\\"lower_rn\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"TrafficType\\\" = p.\\\"TrafficType\\\"\\nGROUP BY p.\\\"TrafficType\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"TrafficType\", \"percentile_measure\"], \"rows\": [{\"TrafficType\": \"14\", \"percentile_measure\": 8.8}, {\"TrafficType\": \"8\", \"percentile_measure\": 8.0}, {\"TrafficType\": \"5\", \"percentile_measure\": 8.0}, {\"TrafficType\": \"2\", \"percentile_measure\": 8.0}, {\"TrafficType\": \"4\", \"percentile_measure\": 7.0}, {\"TrafficType\": \"10\", \"percentile_measure\": 7.0}, {\"TrafficType\": \"20\", \"percentile_measure\": 6.300000000000011}, {\"TrafficType\": \"7\", \"percentile_measure\": 6.200000000000003}, {\"TrafficType\": \"6\", \"percentile_measure\": 6.0}, {\"TrafficType\": \"3\", \"percentile_measure\": 6.0}, {\"TrafficType\": \"13\", \"percentile_measure\": 6.0}, {\"TrafficType\": \"11\", \"percentile_measure\": 6.0}, {\"TrafficType\": \"1\", \"percentile_measure\": 6.0}, {\"TrafficType\": \"9\", \"percentile_measure\": 5.899999999999999}, {\"TrafficType\": \"15\", \"percentile_measure\": 4.300000000000004}, {\"TrafficType\": \"16\", \"percentile_measure\": 4.0}, {\"TrafficType\": \"19\", \"percentile_measure\": 3.8000000000000007}, {\"TrafficType\": \"18\", \"percentile_measure\": 3.6999999999999975}, {\"TrafficType\": \"17\", \"percentile_measure\": 0.0}, {\"TrafficType\": \"12\", \"percentile_measure\": 0.0}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 68.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7e1cc78f891eb8254cfe8f1024a3bb84ed134467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:50:48.818809+00:00", + "ended_at": "2026-05-19T15:51:06.370175+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_2f2613f89ad50c37", + "problem_id": "v2p_m6_4e866258dd878c44", + "dataset_id": "m6", + "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=TrafficType, measure_col=Administrative.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\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_b/m6/sql/v2q_m6_2f2613f89ad50c37.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2f2613f89ad50c37", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 1089, + "total_tokens": 16062, + "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": 17477.61, + "sql_execution_elapsed_ms_total": 68.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..078410d67585ac0dad53829382f9fb6e82f4760b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:06.299319+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": 17477.61, "started_at": "2026-05-19T15:50:48.820255+00:00", "ended_at": "2026-05-19T15:51:06.297899+00:00", "prompt_metrics": {"chars": 10594, "bytes_utf8": 10594, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 1775, "bytes_utf8": 1775, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 1089, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"TrafficType\\\" AS \\\"TrafficType\\\",\\n CAST(NULLIF(\\\"Administrative\\\", '') AS REAL) AS \\\"Administrative_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"TrafficType\\\"\\n ORDER BY CAST(NULLIF(\\\"Administrative\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"TrafficType\\\") AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE NULLIF(\\\"Administrative\\\", '') IS NOT NULL\\n AND NULLIF(\\\"TrafficType\\\", '') IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"TrafficType\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.9) + 1.0) = CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n p.\\\"TrafficType\\\",\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50f2c1509d1bf6cb883c42c5d99a53fbf1bcb47c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2f2613f89ad50c37", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 1089, + "total_tokens": 16062, + "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": 17477.61, + "sql_execution_elapsed_ms_total": 68.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..de46aa1d8391399aac69ca60cf70650836bff7de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/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=SpecialDay, condition_col=OperatingSystems. +Result preview: [{"SpecialDay": "1", "condition_rate": 0.2532467532467532}, {"SpecialDay": "0", "condition_rate": 0.21409874537413123}, {"SpecialDay": "0.2", "condition_rate": 0.19662921348314608}, {"SpecialDay": "0.6", "condition_rate": 0.18803418803418803}, {"SpecialDay": "0.4", "condition_rate": 0.16872427983539096}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..219beb8d9ed463083c56629458b02caf62ba754d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_30106cbc1a9c951a +-- problem_id: v2p_m6_d043a8e58ce5a695 +-- realization_mode: agent +-- source_kind: agent +SELECT "SpecialDay", + AVG(CASE WHEN "OperatingSystems" = '1' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m6" +GROUP BY "SpecialDay" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11eca1b78027ebf6a62d578953bf3b3ed26d546d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/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 \"SpecialDay\",\n AVG(CASE WHEN \"OperatingSystems\" = '1' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"SpecialDay\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"SpecialDay\\\",\\n AVG(CASE WHEN \\\"OperatingSystems\\\" = '1' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"SpecialDay\", \"condition_rate\"], \"rows\": [{\"SpecialDay\": \"1\", \"condition_rate\": 0.2532467532467532}, {\"SpecialDay\": \"0\", \"condition_rate\": 0.21409874537413123}, {\"SpecialDay\": \"0.2\", \"condition_rate\": 0.19662921348314608}, {\"SpecialDay\": \"0.6\", \"condition_rate\": 0.18803418803418803}, {\"SpecialDay\": \"0.4\", \"condition_rate\": 0.16872427983539096}, {\"SpecialDay\": \"0.8\", \"condition_rate\": 0.09846153846153846}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..621d28582baddae6db203308f08850ff6397c58d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:01:15.632150+00:00", + "ended_at": "2026-05-19T16:01:30.949827+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_30106cbc1a9c951a", + "problem_id": "v2p_m6_d043a8e58ce5a695", + "dataset_id": "m6", + "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=SpecialDay, condition_col=OperatingSystems.", + "bindings": { + "group_col": "SpecialDay", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_b/m6/sql/v2q_m6_30106cbc1a9c951a.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_30106cbc1a9c951a", + "api_calls": 0, + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 511, + "total_tokens": 15510, + "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": 14304.4, + "sql_execution_elapsed_ms_total": 6.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e67571f51ea7dd8d67ecf4ecd66355b293ce9c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:18.882889+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": 3248.02, "started_at": "2026-05-19T16:01:15.634140+00:00", "ended_at": "2026-05-19T16:01:18.882184+00:00", "prompt_metrics": {"chars": 10660, "bytes_utf8": 10660, "lines": 315, "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\":\"019e40f8-506c-72e3-9998-7cf64fc8525c\"}\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": "2026-05-19T16:01:30.942257+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": 11056.38, "started_at": "2026-05-19T16:01:19.884943+00:00", "ended_at": "2026-05-19T16:01:30.941375+00:00", "prompt_metrics": {"chars": 10660, "bytes_utf8": 10660, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 532, "bytes_utf8": 532, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14999, "cached_input_tokens": 12032, "output_tokens": 511, "reasoning_output_tokens": 382}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"SpecialDay\\\",\\n AVG(CASE WHEN \\\"OperatingSystems\\\" = '1' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"SpecialDay\\\" and condition_col=\\\"OperatingSystems\\\", comparing against the bound condition_value '1'. The comparison uses a text literal because the schema snapshot shows these columns are stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0efa2e15469a7a959e84981eb1575dcfeb16e63b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_30106cbc1a9c951a", + "api_calls": 0, + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 511, + "total_tokens": 15510, + "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": 14304.4, + "sql_execution_elapsed_ms_total": 6.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_307269e1fe6d1389/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_307269e1fe6d1389/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ae02dc959c8b91010b9d5ab3e15aab61f3453cd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_307269e1fe6d1389/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:08:32.532926+00:00", + "ended_at": "2026-05-19T16:08:39.170282+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_307269e1fe6d1389", + "problem_id": "v2p_m6_0fe3053b32fe9d9e", + "dataset_id": "m6", + "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=Region, measure_col=Region.", + "bindings": { + "group_col": "Region", + "measure_col": "Region", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/artifacts/v2q_m6_307269e1fe6d1389/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_307269e1fe6d1389/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..890612bb64fad811fdcac4040b92abd1bf98c2c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_307269e1fe6d1389/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:35.247713+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": 2712.31, "started_at": "2026-05-19T16:08:32.534574+00:00", "ended_at": "2026-05-19T16:08:35.246906+00:00", "prompt_metrics": {"chars": 10475, "bytes_utf8": 10475, "lines": 312, "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-fb16-73a2-abed-9f14d35ea2d8\"}\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": "2026-05-19T16:08:39.170135+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": 2920.52, "started_at": "2026-05-19T16:08:36.248628+00:00", "ended_at": "2026-05-19T16:08:39.169185+00:00", "prompt_metrics": {"chars": 10475, "bytes_utf8": 10475, "lines": 312, "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-0996-71d2-a059-e2b424c7247a\"}\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_b/m6/artifacts/v2q_m6_34c29a853c966785/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a15b9fca1ceb8b6cb33e9ecb23ffba95e0387f83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "May", "support": 3364, "support_share": 0.27283049472830495, "support_rank": 1}, {"value_label": "Nov", "support": 2998, "support_share": 0.24314679643146797, "support_rank": 2}, {"value_label": "Mar", "support": 1907, "support_share": 0.15466342254663423, "support_rank": 3}, {"value_label": "Dec", "support": 1727, "support_share": 0.14006488240064882, "support_rank": 4}, {"value_label": "Oct", "support": 549, "support_share": 0.04452554744525548, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e321b0b34c4cd558ca9808ab1a0fe5a9afca775b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_34c29a853c966785 +-- problem_id: v2p_m6_5c821a4c0d82604d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Month" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "Month" +) +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_b/m6/artifacts/v2q_m6_34c29a853c966785/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7611b50dfbf636a311be841972964ece196a6949 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/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_b\n-- sql_source_dataset_id: m6\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_m6_34c29a853c966785\n-- problem_id: v2p_m6_5c821a4c0d82604d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Month\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"Month\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_34c29a853c966785\\n-- problem_id: v2p_m6_5c821a4c0d82604d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Month\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Month\\\"\\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\": \"May\", \"support\": 3364, \"support_share\": 0.27283049472830495, \"support_rank\": 1}, {\"value_label\": \"Nov\", \"support\": 2998, \"support_share\": 0.24314679643146797, \"support_rank\": 2}, {\"value_label\": \"Mar\", \"support\": 1907, \"support_share\": 0.15466342254663423, \"support_rank\": 3}, {\"value_label\": \"Dec\", \"support\": 1727, \"support_share\": 0.14006488240064882, \"support_rank\": 4}, {\"value_label\": \"Oct\", \"support\": 549, \"support_share\": 0.04452554744525548, \"support_rank\": 5}, {\"value_label\": \"Sep\", \"support\": 448, \"support_share\": 0.036334144363341446, \"support_rank\": 6}, {\"value_label\": \"Aug\", \"support\": 433, \"support_share\": 0.03511759935117599, \"support_rank\": 7}, {\"value_label\": \"Jul\", \"support\": 432, \"support_share\": 0.035036496350364967, \"support_rank\": 8}, {\"value_label\": \"June\", \"support\": 288, \"support_share\": 0.02335766423357664, \"support_rank\": 9}, {\"value_label\": \"Feb\", \"support\": 184, \"support_share\": 0.01492295214922952, \"support_rank\": 10}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5e5a879ebd294931a090357b45c46e71444d10c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.076616+00:00", + "ended_at": "2026-05-19T16:09:18.080784+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_34c29a853c966785", + "problem_id": "v2p_m6_5c821a4c0d82604d", + "dataset_id": "m6", + "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=Month.", + "bindings": { + "group_col": "Month" + }, + "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_b/m6/sql/v2q_m6_34c29a853c966785.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_b/m6/artifacts/v2q_m6_34c29a853c966785/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_34c29a853c966785/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_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..132603832055e29f5ac2432c08ddaf476c7b9b6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10681, "bytes_utf8": 10681, "lines": 315, "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": 395, "bytes_utf8": 395, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15002, "cached_input_tokens": 12032, "output_tokens": 463, "reasoning_output_tokens": 360}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e1e0ea24c64eca46b8aad1a1d84ecada3ea0c07f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_36431e4b323774b1", + "api_calls": 0, + "input_tokens": 15002, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 15465, + "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": 11038.66, + "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_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d7967e97dda0755cb7c7c19ad8b022093df0da4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:46.967112+00:00", + "ended_at": "2026-05-19T16:01:58.005811+00:00", + "elapsed_ms": 11038.66, + "prompt_metrics": { + "chars": 10681, + "bytes_utf8": 10681, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 742, + "bytes_utf8": 742, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 395, + "bytes_utf8": 395, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15002, + "cached_input_tokens": 12032, + "output_tokens": 463, + "reasoning_output_tokens": 360 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9797a88ab45f6d3bb9260b470bbe3a77e282935a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Month, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Month", + "condition_col": "VisitorType", + "condition_value": "New_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..09873ecf9247067d92b2324a3041fedd8852ce63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-cae1-7e23-9330-6d1e9b24f150"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Month\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the grouped condition rate template with Month as the grouping column and computes the share of rows where VisitorType is New_Visitor within each month.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15002,"cached_input_tokens":12032,"output_tokens":463,"reasoning_output_tokens":360}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1aa6d95bf1286b6c67207a7991fbb6c5759a4b8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Month\",\n AVG(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY condition_rate DESC;","notes":"Uses the grouped condition rate template with Month as the grouping column and computes the share of rows where VisitorType is New_Visitor within each month."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_36431e4b323774b1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..000f239efcf6769289ea85ecbf594ab8037ea1c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10412, "bytes_utf8": 10412, "lines": 312, "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": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 316, "reasoning_output_tokens": 213}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c62df35674d79a10bb9ed151dc51aaa22616b518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_37eb3eef00bfc199", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 316, + "total_tokens": 15253, + "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": 9560.36, + "sql_execution_elapsed_ms_total": 4.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..801db1d3bf4013282552849faef64279c17bb261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/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": "2026-05-19T15:29:08.284218+00:00", + "ended_at": "2026-05-19T15:29:17.844618+00:00", + "elapsed_ms": 9560.36, + "prompt_metrics": { + "chars": 10412, + "bytes_utf8": 10412, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 764, + "bytes_utf8": 764, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 402, + "bytes_utf8": 402, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 316, + "reasoning_output_tokens": 213 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32f69e0f0a484bab6bc8aa3adfcb052a6696dd80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=SpecialDay, measure_col=Informational.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "Informational", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21568d8dc7f56a135757146d129e1d583e8ae9cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-e7b6-7141-9a22-9722f4277bad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"SpecialDay\\\", SUM(CAST(\\\"Informational\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the bound Grouped Numeric Sum template with \\\"SpecialDay\\\" as the grouping column and sums \\\"Informational\\\" after casting to REAL because the schema snapshot stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":12032,"output_tokens":316,"reasoning_output_tokens":213}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9a3214c2bb951702e04616177585c51b41f2ecc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"SpecialDay\", SUM(CAST(\"Informational\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"SpecialDay\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the bound Grouped Numeric Sum template with \"SpecialDay\" as the grouping column and sums \"Informational\" after casting to REAL because the schema snapshot stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_37eb3eef00bfc199/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6d64cf8b4eb2e29d441d31650e4ac5c7eac796f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:57:27.698312+00:00", + "ended_at": "2026-05-19T15:57:34.811874+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_3f0332143dcfa837", + "problem_id": "v2p_m6_69b6cd0c01d2aecf", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Month, measure_col=ExitRates.", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "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": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/artifacts/v2q_m6_3f0332143dcfa837/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..615ee04c945e43e7e82d430e1a9c02edbe8e0905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:30.573145+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": 2872.0, "started_at": "2026-05-19T15:57:27.700371+00:00", "ended_at": "2026-05-19T15:57:30.572393+00:00", "prompt_metrics": {"chars": 10577, "bytes_utf8": 10577, "lines": 312, "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\":\"019e40f4-d620-7963-afff-868dbc8e4bc1\"}\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": "2026-05-19T15:57:34.811786+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": 3236.41, "started_at": "2026-05-19T15:57:31.574614+00:00", "ended_at": "2026-05-19T15:57:34.811072+00:00", "prompt_metrics": {"chars": 10577, "bytes_utf8": 10577, "lines": 312, "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\":\"019e40f4-e54c-7d71-bcc7-f4ad2d13d317\"}\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_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0acd71f2da4df3eb976009d60ebf415a7ed83b96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/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=VisitorType, measure_col=Informational. +Result preview: [{"VisitorType": "Other", "ProductRelated_Duration": "43", "total_measure": 4.0, "share_within_group": 26.666666666666668}, {"VisitorType": "Other", "ProductRelated_Duration": "9630.209524", "total_measure": 4.0, "share_within_group": 26.666666666666668}, {"VisitorType": "Other", "ProductRelated_Duration": "109", "total_measure": 2.0, "share_within_group": 13.333333333333334}, {"VisitorType": "Other", "ProductRelated_Duration": "1543.5", "total_measure": 2.0, "share_within_group": 13.333333333333334}, {"VisitorType": "Other", "ProductRelated_Duration": "1666.75", "total_measure": 1.0, "share_within_group": 6.666666666666667}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d699d992459585ac91bae1e47446199d06d80081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_3fe756452bbfbbbc +-- problem_id: v2p_m6_e41b4de69e646f60 +-- realization_mode: agent +-- source_kind: agent +SELECT "VisitorType", "ProductRelated_Duration", + SUM(CAST("Informational" AS REAL)) AS total_measure, + SUM(CAST("Informational" AS REAL)) * 100.0 / SUM(SUM(CAST("Informational" AS REAL))) OVER (PARTITION BY "VisitorType") AS share_within_group +FROM "m6" +WHERE "VisitorType" IS NOT NULL + AND "ProductRelated_Duration" IS NOT NULL + AND "Informational" IS NOT NULL +GROUP BY "VisitorType", "ProductRelated_Duration" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5133909c43e8997e82ddabe55c4a70f1f50727cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/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 \"VisitorType\", \"ProductRelated_Duration\",\n SUM(CAST(\"Informational\" AS REAL)) AS total_measure,\n SUM(CAST(\"Informational\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Informational\" AS REAL))) OVER (PARTITION BY \"VisitorType\") AS share_within_group\nFROM \"m6\"\nWHERE \"VisitorType\" IS NOT NULL\n AND \"ProductRelated_Duration\" IS NOT NULL\n AND \"Informational\" IS NOT NULL\nGROUP BY \"VisitorType\", \"ProductRelated_Duration\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND \\\"Informational\\\" IS NOT NULL\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"VisitorType\", \"ProductRelated_Duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"43\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"9630.209524\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"109\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"1543.5\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"1666.75\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"539.5\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"67.66666667\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"665.5666667\", \"total_measure\": 10.0, \"share_within_group\": 1.7699115044247788}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1886.5\", \"total_measure\": 9.0, \"share_within_group\": 1.592920353982301}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"12983.78771\", \"total_measure\": 7.0, \"share_within_group\": 1.238938053097345}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1446.733333\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"160.5\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2989.494048\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"481.31\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"838.15\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"944.8\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1176.5\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"128.5\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"239.7\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"513.4666667\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"577.6\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"851.6666667\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1055.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1243.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1357.833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"138.4166667\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1679.833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"213.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2816.43881\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2839.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"328\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"333.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"376\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"385.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"4114.083333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"427.0833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"46\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"5579.315873\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"595.0095238\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"67\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"678.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"70.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"74.6\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"806.65\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"910.0809524\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"924\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"10\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1005.806061\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"101\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"124.9583333\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 37.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ba385362565bef5921cc32a49b637ffa24a77835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:36:39.429077+00:00", + "ended_at": "2026-05-19T15:36:54.258685+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_3fe756452bbfbbbc", + "problem_id": "v2p_m6_e41b4de69e646f60", + "dataset_id": "m6", + "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=VisitorType, measure_col=Informational.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Informational", + "item_col": "ProductRelated_Duration", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=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_b/m6/sql/v2q_m6_3fe756452bbfbbbc.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_3fe756452bbfbbbc", + "api_calls": 0, + "input_tokens": 15057, + "cached_input_tokens": 13696, + "output_tokens": 721, + "total_tokens": 15778, + "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": 14787.75, + "sql_execution_elapsed_ms_total": 37.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..270883aee2f97afc1af41412c8ea0038820c4550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:54.219351+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": 14787.75, "started_at": "2026-05-19T15:36:39.430463+00:00", "ended_at": "2026-05-19T15:36:54.218243+00:00", "prompt_metrics": {"chars": 10835, "bytes_utf8": 10835, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 802, "bytes_utf8": 802, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 13696, "output_tokens": 721, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND \\\"Informational\\\" IS NOT NULL\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=\\\"VisitorType\\\", item_col=\\\"ProductRelated_Duration\\\", and measure_col=\\\"Informational\\\". CAST to REAL is included because the schema stores these fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ce5418a95dd4cf93f6f4edf3e501397a5ef6b904 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_3fe756452bbfbbbc", + "api_calls": 0, + "input_tokens": 15057, + "cached_input_tokens": 13696, + "output_tokens": 721, + "total_tokens": 15778, + "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": 14787.75, + "sql_execution_elapsed_ms_total": 37.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7fe5880bddc4bbd1452cb4d414494edcbce5fb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/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=TrafficType, measure_col=ExitRates. +Result preview: [{"TrafficType": "1", "total_measure": 136.539105078}, {"TrafficType": "3", "total_measure": 117.203559142}, {"TrafficType": "2", "total_measure": 103.269584662}, {"TrafficType": "13", "total_measure": 51.905507689000004}, {"TrafficType": "4", "total_measure": 38.650094049}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d50f4a4bdbed603d4b7c4beccafccd090bba657a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_4c47e1261cf924f5 +-- problem_id: v2p_m6_9176ad68caf950f1 +-- realization_mode: agent +-- source_kind: agent +SELECT "TrafficType", SUM(CAST("ExitRates" AS REAL)) AS "total_measure" +FROM "m6" +GROUP BY "TrafficType" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b22f5d30ada7675d75c404369f242daa9abb56f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/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 \"TrafficType\", SUM(CAST(\"ExitRates\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"TrafficType\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"TrafficType\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"TrafficType\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"TrafficType\", \"total_measure\"], \"rows\": [{\"TrafficType\": \"1\", \"total_measure\": 136.539105078}, {\"TrafficType\": \"3\", \"total_measure\": 117.203559142}, {\"TrafficType\": \"2\", \"total_measure\": 103.269584662}, {\"TrafficType\": \"13\", \"total_measure\": 51.905507689000004}, {\"TrafficType\": \"4\", \"total_measure\": 38.650094049}, {\"TrafficType\": \"6\", \"total_measure\": 20.162845682}, {\"TrafficType\": \"10\", \"total_measure\": 17.059578972}, {\"TrafficType\": \"11\", \"total_measure\": 10.80702174}, {\"TrafficType\": \"8\", \"total_measure\": 10.166079658000001}, {\"TrafficType\": \"20\", \"total_measure\": 9.414588934000001}, {\"TrafficType\": \"5\", \"total_measure\": 7.716594645}, {\"TrafficType\": \"15\", \"total_measure\": 3.4106981810000003}, {\"TrafficType\": \"9\", \"total_measure\": 1.905384465}, {\"TrafficType\": \"7\", \"total_measure\": 0.992720495}, {\"TrafficType\": \"19\", \"total_measure\": 0.845946152}, {\"TrafficType\": \"18\", \"total_measure\": 0.530553222}, {\"TrafficType\": \"14\", \"total_measure\": 0.312073069}, {\"TrafficType\": \"17\", \"total_measure\": 0.075}, {\"TrafficType\": \"12\", \"total_measure\": 0.066666667}, {\"TrafficType\": \"16\", \"total_measure\": 0.053993959}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5f99014fa27e674747cf8d8f463334669aff77b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:30:50.406960+00:00", + "ended_at": "2026-05-19T15:31:22.526669+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_4c47e1261cf924f5", + "problem_id": "v2p_m6_9176ad68caf950f1", + "dataset_id": "m6", + "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=TrafficType, measure_col=ExitRates.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "ExitRates", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_b/m6/sql/v2q_m6_4c47e1261cf924f5.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4c47e1261cf924f5", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 15285, + "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": 32105.97, + "sql_execution_elapsed_ms_total": 8.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26f30f17695ea76fc06acbc4cbd8d9d3bd4a9dd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:22.516681+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": 32105.97, "started_at": "2026-05-19T15:30:50.409723+00:00", "ended_at": "2026-05-19T15:31:22.515733+00:00", "prompt_metrics": {"chars": 10405, "bytes_utf8": 10405, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 411, "bytes_utf8": 411, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 240}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"TrafficType\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"TrafficType\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"TrafficType\\\" as the grouping column and \\\"ExitRates\\\" as the summed measure. Cast \\\"ExitRates\\\" to REAL because the schema snapshot shows it stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9698e25b12f4c1f256cfd11dbbad7725ae1b4bed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4c47e1261cf924f5", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 15285, + "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": 32105.97, + "sql_execution_elapsed_ms_total": 8.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4034ec48d055c1c86b1e5f4f127b67eeb5beab8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 11079, "support_share": 0.8985401459854014, "cumulative_support": 11079}, {"value_label": "0.6", "support": 351, "support_share": 0.02846715328467153, "cumulative_support": 11430}, {"value_label": "0.8", "support": 325, "support_share": 0.026358475263584754, "cumulative_support": 11755}, {"value_label": "0.4", "support": 243, "support_share": 0.01970802919708029, "cumulative_support": 11998}, {"value_label": "0.2", "support": 178, "support_share": 0.014436334144363341, "cumulative_support": 12176}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..39f40f6fb6a1514e15b3f758cfd7a4d6cf97979c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_4caf65683d76240b +-- problem_id: v2p_m6_51a120766efcdd48 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "SpecialDay" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "SpecialDay" +), 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_b/m6/artifacts/v2q_m6_4caf65683d76240b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe380f3c6cb7ff47aa403a1cdb6ff27a9433099f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/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_b\n-- sql_source_dataset_id: m6\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_m6_4caf65683d76240b\n-- problem_id: v2p_m6_51a120766efcdd48\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"SpecialDay\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"SpecialDay\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_4caf65683d76240b\\n-- problem_id: v2p_m6_51a120766efcdd48\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"SpecialDay\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"SpecialDay\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 11079, \"support_share\": 0.8985401459854014, \"cumulative_support\": 11079}, {\"value_label\": \"0.6\", \"support\": 351, \"support_share\": 0.02846715328467153, \"cumulative_support\": 11430}, {\"value_label\": \"0.8\", \"support\": 325, \"support_share\": 0.026358475263584754, \"cumulative_support\": 11755}, {\"value_label\": \"0.4\", \"support\": 243, \"support_share\": 0.01970802919708029, \"cumulative_support\": 11998}, {\"value_label\": \"0.2\", \"support\": 178, \"support_share\": 0.014436334144363341, \"cumulative_support\": 12176}, {\"value_label\": \"1\", \"support\": 154, \"support_share\": 0.012489862124898622, \"cumulative_support\": 12330}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e7368b255a342d6e4d9eb517a4b9e255694920e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.013197+00:00", + "ended_at": "2026-05-19T16:09:18.018047+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_4caf65683d76240b", + "problem_id": "v2p_m6_51a120766efcdd48", + "dataset_id": "m6", + "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=SpecialDay.", + "bindings": { + "group_col": "SpecialDay" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_4caf65683d76240b.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_b/m6/artifacts/v2q_m6_4caf65683d76240b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4caf65683d76240b/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_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3732747c6561084b29eeefaf9fec7a4c712f0abe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10396, "bytes_utf8": 10396, "lines": 310, "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": 10396, "bytes_utf8": 10396, "lines": 310, "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": 319, "bytes_utf8": 319, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 12032, "output_tokens": 290, "reasoning_output_tokens": 200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..052d684c75649d78b9598bd297e9efc5b92f21ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4d7e939361a252a4", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15238, + "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": 14476.07, + "sql_execution_elapsed_ms_total": 4.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ae0243355876543bf3f37f551273523ddab3f98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:58.145259+00:00", + "ended_at": "2026-05-19T16:05:01.156803+00:00", + "elapsed_ms": 3011.52, + "returncode": 1, + "prompt_metrics": { + "chars": 10396, + "bytes_utf8": 10396, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4693d69c5e790e025b6aaf6cb85734bb4b94c2d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/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": "2026-05-19T16:05:02.158868+00:00", + "ended_at": "2026-05-19T16:05:13.623453+00:00", + "elapsed_ms": 11464.55, + "prompt_metrics": { + "chars": 10396, + "bytes_utf8": 10396, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 672, + "bytes_utf8": 672, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 319, + "bytes_utf8": 319, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14948, + "cached_input_tokens": 12032, + "output_tokens": 290, + "reasoning_output_tokens": 200 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c87a0fed92c29c842642d90d8ca6ea6538f0dfa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Informational.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Informational", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c87a0fed92c29c842642d90d8ca6ea6538f0dfa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Informational.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Informational", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97a0030a9803cf7769b997075d65a0a11fc00fba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b595-73b1-af51-8e89a1d05350"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df47d353f31ef3b3d05520fa8fea017b72facb57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b595-73b1-af51-8e89a1d05350"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5359349005fe5950effbe270b7e63d24b644ecd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c557-72a1-8500-23ff4fb36023"} +{"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 \\\"Informational\\\",\\n COUNT(*) AS support\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY support ASC, \\\"Informational\\\"\\nLIMIT 12;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"Informational\\\" and top_k=12.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14948,"cached_input_tokens":12032,"output_tokens":290,"reasoning_output_tokens":200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..683445fdd92283aadbf0baba8e50a023ff48a35e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Informational\",\n COUNT(*) AS support\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY support ASC, \"Informational\"\nLIMIT 12;","notes":"Uses the Low-Support Group Count template with group_col bound to \"Informational\" and top_k=12."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4d7e939361a252a4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8aace15efd4592c28b1ffe4f3b3e1905f13439c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=SpecialDay, measure_col=PageValues. +Result preview: [{"SpecialDay": "0", "avg_measure": 6.291811588606463}, {"SpecialDay": "0.2", "avg_measure": 3.6904679667808984}, {"SpecialDay": "0.6", "avg_measure": 2.853831290809117}, {"SpecialDay": "0.4", "avg_measure": 2.2773038972674895}, {"SpecialDay": "1", "avg_measure": 1.842522450896104}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b5512f7dd8f83ebee6fb71cfe49bc81707792181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m6_4f303efceb92d002 +-- problem_id: v2p_m6_edf578c64dcedf16 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "SpecialDay", + AVG(CAST("PageValues" AS REAL)) OVER (PARTITION BY "SpecialDay") AS "avg_measure" +FROM "m6" +WHERE "SpecialDay" IS NOT NULL + AND "SpecialDay" <> '' + AND "PageValues" IS NOT NULL + AND "PageValues" <> '' +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..40133b0fc17c3446be2cc70e5d2ba149ccdab5e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/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_window_partition_avg.\nSELECT DISTINCT\n \"SpecialDay\",\n AVG(CAST(\"PageValues\" AS REAL)) OVER (PARTITION BY \"SpecialDay\") AS \"avg_measure\"\nFROM \"m6\"\nWHERE \"SpecialDay\" IS NOT NULL\n AND \"SpecialDay\" <> ''\n AND \"PageValues\" IS NOT NULL\n AND \"PageValues\" <> ''\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg.\\nSELECT DISTINCT\\n \\\"SpecialDay\\\",\\n AVG(CAST(\\\"PageValues\\\" AS REAL)) OVER (PARTITION BY \\\"SpecialDay\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m6\\\"\\nWHERE \\\"SpecialDay\\\" IS NOT NULL\\n AND \\\"SpecialDay\\\" <> ''\\n AND \\\"PageValues\\\" IS NOT NULL\\n AND \\\"PageValues\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"SpecialDay\", \"avg_measure\"], \"rows\": [{\"SpecialDay\": \"0\", \"avg_measure\": 6.291811588606463}, {\"SpecialDay\": \"0.2\", \"avg_measure\": 3.6904679667808984}, {\"SpecialDay\": \"0.6\", \"avg_measure\": 2.853831290809117}, {\"SpecialDay\": \"0.4\", \"avg_measure\": 2.2773038972674895}, {\"SpecialDay\": \"1\", \"avg_measure\": 1.842522450896104}, {\"SpecialDay\": \"0.8\", \"avg_measure\": 1.2671922190953846}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 22.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..92bd657ea4066f7ae6e6660e7f14b8cbce81ba66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:07:11.727344+00:00", + "ended_at": "2026-05-19T16:07:38.277443+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_4f303efceb92d002", + "problem_id": "v2p_m6_edf578c64dcedf16", + "dataset_id": "m6", + "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=SpecialDay, measure_col=PageValues.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "PageValues", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_b/m6/sql/v2q_m6_4f303efceb92d002.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4f303efceb92d002", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 13696, + "output_tokens": 1371, + "total_tokens": 16320, + "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": 26523.93, + "sql_execution_elapsed_ms_total": 22.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd9ef318e37eb286d5f9456bd12fa37bb7aa0af1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:07:38.254036+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": 26523.93, "started_at": "2026-05-19T16:07:11.729263+00:00", "ended_at": "2026-05-19T16:07:38.253218+00:00", "prompt_metrics": {"chars": 10491, "bytes_utf8": 10491, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14949, "cached_input_tokens": 13696, "output_tokens": 1371, "reasoning_output_tokens": 1219}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg.\\nSELECT DISTINCT\\n \\\"SpecialDay\\\",\\n AVG(CAST(\\\"PageValues\\\" AS REAL)) OVER (PARTITION BY \\\"SpecialDay\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m6\\\"\\nWHERE \\\"SpecialDay\\\" IS NOT NULL\\n AND \\\"SpecialDay\\\" <> ''\\n AND \\\"PageValues\\\" IS NOT NULL\\n AND \\\"PageValues\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Uses the requested window-partition-average template with \\\"SpecialDay\\\" as the group column and casts \\\"PageValues\\\" from TEXT to REAL; filters NULL/blank values for a stable slice view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1cdaae87d5c6e84eb1dd29d623b37df0da80a197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4f303efceb92d002", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 13696, + "output_tokens": 1371, + "total_tokens": 16320, + "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": 26523.93, + "sql_execution_elapsed_ms_total": 22.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4f303efceb92d002/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fc93cda1771a0f59db478f2d7f7875ada9a5a4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/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=OperatingSystems, measure_col=PageValues. +Result preview: [{"OperatingSystems": "8", "percentile_measure": 116.3378652}, {"OperatingSystems": "6", "percentile_measure": 53.988}, {"OperatingSystems": "4", "percentile_measure": 50.66498303}, {"OperatingSystems": "2", "percentile_measure": 42.29306752}, {"OperatingSystems": "1", "percentile_measure": 36.13790493}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a309c32b06ec4df2213968309f41abd3e4e73c0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_52f738d441389984 +-- problem_id: v2p_m6_437059c47d4b7c06 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "OperatingSystems", + CAST("PageValues" AS REAL) AS "page_value", + COUNT(*) OVER (PARTITION BY "OperatingSystems") AS "cnt", + CUME_DIST() OVER ( + PARTITION BY "OperatingSystems" + ORDER BY CAST("PageValues" AS REAL) + ) AS "cume_dist" + FROM "m6" + WHERE NULLIF(TRIM("OperatingSystems"), '') IS NOT NULL + AND NULLIF(TRIM("PageValues"), '') IS NOT NULL +) +SELECT + "OperatingSystems", + MIN("page_value") AS "percentile_measure" +FROM "ranked" +WHERE "cnt" >= 5 + AND "cume_dist" >= 0.95 +GROUP BY "OperatingSystems" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2d7befca0dcd5a3b8020ef012ff3e7823225c0da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/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 \"OperatingSystems\",\n CAST(\"PageValues\" AS REAL) AS \"page_value\",\n COUNT(*) OVER (PARTITION BY \"OperatingSystems\") AS \"cnt\",\n CUME_DIST() OVER (\n PARTITION BY \"OperatingSystems\"\n ORDER BY CAST(\"PageValues\" AS REAL)\n ) AS \"cume_dist\"\n FROM \"m6\"\n WHERE NULLIF(TRIM(\"OperatingSystems\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"PageValues\"), '') IS NOT NULL\n)\nSELECT\n \"OperatingSystems\",\n MIN(\"page_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n AND \"cume_dist\" >= 0.95\nGROUP BY \"OperatingSystems\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n CAST(\\\"PageValues\\\" AS REAL) AS \\\"page_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"OperatingSystems\\\") AS \\\"cnt\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ORDER BY CAST(\\\"PageValues\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m6\\\"\\n WHERE NULLIF(TRIM(\\\"OperatingSystems\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"PageValues\\\"), '') IS NOT NULL\\n)\\nSELECT\\n \\\"OperatingSystems\\\",\\n MIN(\\\"page_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"cume_dist\\\" >= 0.95\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"OperatingSystems\", \"percentile_measure\"], \"rows\": [{\"OperatingSystems\": \"8\", \"percentile_measure\": 116.3378652}, {\"OperatingSystems\": \"6\", \"percentile_measure\": 53.988}, {\"OperatingSystems\": \"4\", \"percentile_measure\": 50.66498303}, {\"OperatingSystems\": \"2\", \"percentile_measure\": 42.29306752}, {\"OperatingSystems\": \"1\", \"percentile_measure\": 36.13790493}, {\"OperatingSystems\": \"5\", \"percentile_measure\": 26.18852293}, {\"OperatingSystems\": \"3\", \"percentile_measure\": 24.02645488}, {\"OperatingSystems\": \"7\", \"percentile_measure\": 0.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 38.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..958d71916a38f301485cfd4d57e3aa5b004f0c7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:57:34.812257+00:00", + "ended_at": "2026-05-19T15:58:12.042312+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_52f738d441389984", + "problem_id": "v2p_m6_437059c47d4b7c06", + "dataset_id": "m6", + "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=OperatingSystems, measure_col=PageValues.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_52f738d441389984.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_52f738d441389984", + "api_calls": 0, + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 2045, + "total_tokens": 17020, + "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": 36185.75, + "sql_execution_elapsed_ms_total": 38.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f511c3a6cd9eee067cf4184fbe40b492ba75524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:38.019919+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3205.3, "started_at": "2026-05-19T15:57:34.813936+00:00", "ended_at": "2026-05-19T15:57:38.019259+00:00", "prompt_metrics": {"chars": 10596, "bytes_utf8": 10596, "lines": 312, "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\":\"019e40f4-f1f8-7502-a625-c4970eabfbb7\"}\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": "2026-05-19T15:58:12.002225+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": 32980.45, "started_at": "2026-05-19T15:57:39.020837+00:00", "ended_at": "2026-05-19T15:58:12.001324+00:00", "prompt_metrics": {"chars": 10596, "bytes_utf8": 10596, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 1046, "bytes_utf8": 1046, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14975, "cached_input_tokens": 12032, "output_tokens": 2045, "reasoning_output_tokens": 1764}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n CAST(\\\"PageValues\\\" AS REAL) AS \\\"page_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"OperatingSystems\\\") AS \\\"cnt\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ORDER BY CAST(\\\"PageValues\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m6\\\"\\n WHERE NULLIF(TRIM(\\\"OperatingSystems\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"PageValues\\\"), '') IS NOT NULL\\n)\\nSELECT\\n \\\"OperatingSystems\\\",\\n MIN(\\\"page_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"cume_dist\\\" >= 0.95\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to compute an empirical 95th-percentile point per OperatingSystems group. PageValues is CAST to REAL because the schema stores numeric-looking fields as TEXT, and groups with fewer than 5 rows are excluded us"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..82aab317533953f0ed895aae3fcb02a81b9e695a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_52f738d441389984", + "api_calls": 0, + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 2045, + "total_tokens": 17020, + "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": 36185.75, + "sql_execution_elapsed_ms_total": 38.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..225c5a91905695187dd721521de80c33daa43ec3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/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=Month. +Result preview: [{"Month": "May", "row_count": 3364}, {"Month": "Nov", "row_count": 2998}, {"Month": "Mar", "row_count": 1907}, {"Month": "Dec", "row_count": 1727}, {"Month": "Oct", "row_count": 549}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4383173d526f0eeb2beea66ae66584733de024d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m6_558789014fb64b35 +-- problem_id: v2p_m6_52a1dcea26c3a48e +-- realization_mode: agent +-- source_kind: agent +SELECT "Month", COUNT(*) AS "row_count" +FROM "m6" +GROUP BY "Month" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3783cb79dd5017cf27bdd56950816491b045c0b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/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_clickbench_group_count\nSELECT \"Month\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Month\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Month\", \"row_count\"], \"rows\": [{\"Month\": \"May\", \"row_count\": 3364}, {\"Month\": \"Nov\", \"row_count\": 2998}, {\"Month\": \"Mar\", \"row_count\": 1907}, {\"Month\": \"Dec\", \"row_count\": 1727}, {\"Month\": \"Oct\", \"row_count\": 549}, {\"Month\": \"Sep\", \"row_count\": 448}, {\"Month\": \"Aug\", \"row_count\": 433}, {\"Month\": \"Jul\", \"row_count\": 432}, {\"Month\": \"June\", \"row_count\": 288}, {\"Month\": \"Feb\", \"row_count\": 184}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a4c5f33eca733fd1beda5f8c1c5c480184101276 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:32:24.361510+00:00", + "ended_at": "2026-05-19T15:32:40.161162+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_558789014fb64b35", + "problem_id": "v2p_m6_52a1dcea26c3a48e", + "dataset_id": "m6", + "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=Month.", + "bindings": { + "group_col": "Month", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=3", + "sql_variant_index=1/1", + "binding_index=14" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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_b/m6/sql/v2q_m6_558789014fb64b35.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_558789014fb64b35", + "api_calls": 0, + "input_tokens": 14908, + "cached_input_tokens": 12032, + "output_tokens": 197, + "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": 15782.67, + "sql_execution_elapsed_ms_total": 9.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d05b00c0c2e355bca726d2b294385737e63fe3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:40.148945+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": 15782.67, "started_at": "2026-05-19T15:32:24.364658+00:00", "ended_at": "2026-05-19T15:32:40.147370+00:00", "prompt_metrics": {"chars": 10301, "bytes_utf8": 10301, "lines": 310, "estimated_tokens": null}, "response_metrics": {"chars": 293, "bytes_utf8": 293, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14908, "cached_input_tokens": 12032, "output_tokens": 197, "reasoning_output_tokens": 122}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Month\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to Month to measure subgroup size distribution across months.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a83a9fc648a68f7c46e9cc071801fbe48d9814c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_558789014fb64b35", + "api_calls": 0, + "input_tokens": 14908, + "cached_input_tokens": 12032, + "output_tokens": 197, + "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": 15782.67, + "sql_execution_elapsed_ms_total": 9.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_558789014fb64b35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecbc191314eb7cae9e1dc8022bae15dd541d2eb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/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=OperatingSystems, measure_col=ProductRelated. +Result preview: [{"OperatingSystems": "2", "total_measure": 243291.0}, {"OperatingSystems": "3", "total_measure": 67616.0}, {"OperatingSystems": "1", "total_measure": 61224.0}, {"OperatingSystems": "4", "total_measure": 17317.0}, {"OperatingSystems": "8", "total_measure": 1182.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a44de74d1ed6f143390415e983a8520b04e62657 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_5b0bb89732fa0f0b +-- problem_id: v2p_m6_87e61329cbc6a1e8 +-- realization_mode: agent +-- source_kind: agent +SELECT "OperatingSystems", SUM(CAST("ProductRelated" AS REAL)) AS total_measure +FROM "m6" +GROUP BY "OperatingSystems" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a0e8d6d8deac59e1ec26690671115a49ab8cc04b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/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 \"OperatingSystems\", SUM(CAST(\"ProductRelated\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"OperatingSystems\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"OperatingSystems\", \"total_measure\"], \"rows\": [{\"OperatingSystems\": \"2\", \"total_measure\": 243291.0}, {\"OperatingSystems\": \"3\", \"total_measure\": 67616.0}, {\"OperatingSystems\": \"1\", \"total_measure\": 61224.0}, {\"OperatingSystems\": \"4\", \"total_measure\": 17317.0}, {\"OperatingSystems\": \"8\", \"total_measure\": 1182.0}, {\"OperatingSystems\": \"6\", \"total_measure\": 406.0}, {\"OperatingSystems\": \"7\", \"total_measure\": 140.0}, {\"OperatingSystems\": \"5\", \"total_measure\": 73.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d68aac834ff0c4e3a55fed3bbd042888bfb8f23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:29:33.887812+00:00", + "ended_at": "2026-05-19T15:29:46.919662+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_5b0bb89732fa0f0b", + "problem_id": "v2p_m6_87e61329cbc6a1e8", + "dataset_id": "m6", + "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=OperatingSystems, measure_col=ProductRelated.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "ProductRelated", + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_5b0bb89732fa0f0b.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_5b0bb89732fa0f0b", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 490, + "total_tokens": 15427, + "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": 13021.46, + "sql_execution_elapsed_ms_total": 5.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d126a8af36f21b870f1fd8a9a8e9c22ceca05645 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:46.912932+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": 13021.46, "started_at": "2026-05-19T15:29:33.890708+00:00", "ended_at": "2026-05-19T15:29:46.912202+00:00", "prompt_metrics": {"chars": 10426, "bytes_utf8": 10426, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 13696, "output_tokens": 490, "reasoning_output_tokens": 393}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"OperatingSystems\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested Grouped Numeric Sum template with \\\"OperatingSystems\\\" as the grouping column and cast text-typed \\\"ProductRelated\\\" to REAL before summing for SQLite compatibility.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..369d965f42934c5a1ef13af569a9a081786bb188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_5b0bb89732fa0f0b", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 490, + "total_tokens": 15427, + "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": 13021.46, + "sql_execution_elapsed_ms_total": 5.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5e9bf36f97563a56/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5e9bf36f97563a56/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..669db2f0767584c34a0f3ace8bb9b27e8ff5a7eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5e9bf36f97563a56/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:08:09.659899+00:00", + "ended_at": "2026-05-19T16:08:17.237603+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_5e9bf36f97563a56", + "problem_id": "v2p_m6_41e6023cc183112f", + "dataset_id": "m6", + "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=OperatingSystems, measure_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "OperatingSystems", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT 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_b/m6/artifacts/v2q_m6_5e9bf36f97563a56/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5e9bf36f97563a56/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9a7bf5705264dabb08a2b3f9b1b671a43b00197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5e9bf36f97563a56/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:12.906846+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": 3244.3, "started_at": "2026-05-19T16:08:09.661805+00:00", "ended_at": "2026-05-19T16:08:12.906135+00:00", "prompt_metrics": {"chars": 10514, "bytes_utf8": 10514, "lines": 312, "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-a1be-77d2-ab20-8ac29c0d5a63\"}\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": "2026-05-19T16:08:17.237516+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": 3328.36, "started_at": "2026-05-19T16:08:13.908389+00:00", "ended_at": "2026-05-19T16:08:17.236791+00:00", "prompt_metrics": {"chars": 10514, "bytes_utf8": 10514, "lines": 312, "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-b23f-75d0-987b-d556cacbb350\"}\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_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9a4666eabbea609baa4044fae7a07170d206af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/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=VisitorType, group_col_2=Revenue. +Result preview: [{"VisitorType": "Returning_Visitor", "Revenue": "TRUE", "row_count": 1470}, {"VisitorType": "New_Visitor", "Revenue": "TRUE", "row_count": 422}, {"VisitorType": "Other", "Revenue": "TRUE", "row_count": 16}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a28f5819cc4dd3b9216a92b3f2f2494120905636 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_5ec8958cc2870e25 +-- problem_id: v2p_m6_dae28a066407f03c +-- realization_mode: agent +-- source_kind: agent +SELECT "VisitorType", "Revenue", COUNT(*) AS row_count +FROM "m6" +WHERE "Revenue" = 'TRUE' +GROUP BY "VisitorType", "Revenue" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9be733d96776897932ea14135b6a3c4337b9e79c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/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 \"VisitorType\", \"Revenue\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE \"Revenue\" = 'TRUE'\nGROUP BY \"VisitorType\", \"Revenue\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"VisitorType\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE \\\"Revenue\\\" = 'TRUE'\\nGROUP BY \\\"VisitorType\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"VisitorType\", \"Revenue\", \"row_count\"], \"rows\": [{\"VisitorType\": \"Returning_Visitor\", \"Revenue\": \"TRUE\", \"row_count\": 1470}, {\"VisitorType\": \"New_Visitor\", \"Revenue\": \"TRUE\", \"row_count\": 422}, {\"VisitorType\": \"Other\", \"Revenue\": \"TRUE\", \"row_count\": 16}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc6ef71e2e375d935be6d969d4e23ea4a049a17c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:41:50.700324+00:00", + "ended_at": "2026-05-19T15:42:05.992603+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_5ec8958cc2870e25", + "problem_id": "v2p_m6_dae28a066407f03c", + "dataset_id": "m6", + "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=VisitorType, group_col_2=Revenue.", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Revenue", + "predicate_col": "Revenue", + "predicate_op": "=", + "predicate_value": "TRUE", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_b/m6/sql/v2q_m6_5ec8958cc2870e25.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_5ec8958cc2870e25", + "api_calls": 0, + "input_tokens": 15026, + "cached_input_tokens": 12032, + "output_tokens": 270, + "total_tokens": 15296, + "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": 15286.2, + "sql_execution_elapsed_ms_total": 2.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a763e2772f79b61fd3d14f4979056033cf334fa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:05.988650+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": 15286.2, "started_at": "2026-05-19T15:41:50.701648+00:00", "ended_at": "2026-05-19T15:42:05.987877+00:00", "prompt_metrics": {"chars": 10711, "bytes_utf8": 10711, "lines": 316, "estimated_tokens": null}, "response_metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15026, "cached_input_tokens": 12032, "output_tokens": 270, "reasoning_output_tokens": 162}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"VisitorType\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE \\\"Revenue\\\" = 'TRUE'\\nGROUP BY \\\"VisitorType\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with group_col=\\\"VisitorType\\\", group_col_2=\\\"Revenue\\\", and treated Revenue as a TEXT field using the literal 'TRUE'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c397b089968b44a26ff69935c3c177fb678a95b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_5ec8958cc2870e25", + "api_calls": 0, + "input_tokens": 15026, + "cached_input_tokens": 12032, + "output_tokens": 270, + "total_tokens": 15296, + "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": 15286.2, + "sql_execution_elapsed_ms_total": 2.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecd6b84efb8b3f86ba93b361808fe49f29ab8fb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10605, "bytes_utf8": 10605, "lines": 310, "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": 640, "bytes_utf8": 640, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14996, "cached_input_tokens": 13696, "output_tokens": 502, "reasoning_output_tokens": 332}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3b504fea4e5b84aaecd03ee9f3ff07975ca12572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_60af9b75354b83aa", + "api_calls": 0, + "input_tokens": 14996, + "cached_input_tokens": 13696, + "output_tokens": 502, + "total_tokens": 15498, + "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": 12676.4, + "sql_execution_elapsed_ms_total": 23.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..582661d34b2bf3489ef3a83f66e265303e0db9d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:53.825343+00:00", + "ended_at": "2026-05-19T15:43:06.501774+00:00", + "elapsed_ms": 12676.4, + "prompt_metrics": { + "chars": 10605, + "bytes_utf8": 10605, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1021, + "bytes_utf8": 1021, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 640, + "bytes_utf8": 640, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14996, + "cached_input_tokens": 13696, + "output_tokens": 502, + "reasoning_output_tokens": 332 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b33a5a30e4ed12c65ca4e7d8b07a2ce4664d32d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ProductRelated_Duration", + "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": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..436cd1020c8ee02ccea5c7c8cc3e2e4a996e3ea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-8084-7873-bf70-564b3c0c666c"} +{"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 CAST(\\\"ProductRelated_Duration\\\" AS REAL) AS \\\"ProductRelated_Duration\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ProductRelated_Duration\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"ProductRelated_Duration\\\" IS NOT NULL\\n)\\nSELECT \\\"ProductRelated_Duration\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"ProductRelated_Duration\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to ProductRelated_Duration, casting the TEXT field to REAL so the top decile is computed numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14996,"cached_input_tokens":13696,"output_tokens":502,"reasoning_output_tokens":332}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aeafced856213b29cb5d9ad446c9ca382392e73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"ProductRelated_Duration\" AS REAL) AS \"ProductRelated_Duration\",\n NTILE(10) OVER (ORDER BY CAST(\"ProductRelated_Duration\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n WHERE \"ProductRelated_Duration\" IS NOT NULL\n)\nSELECT \"ProductRelated_Duration\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"ProductRelated_Duration\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to ProductRelated_Duration, casting the TEXT field to REAL so the top decile is computed numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_60af9b75354b83aa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..68292f057d1daf94db52314b86478e5eb3e09512 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/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=Browser, measure_col=SpecialDay. +Result preview: [{"Browser": "3", "percentile_measure": 0.6}, {"Browser": "6", "percentile_measure": 0.6}, {"Browser": "5", "percentile_measure": 0.4}, {"Browser": "10", "percentile_measure": 0.2}, {"Browser": "2", "percentile_measure": 0.2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..70c6fab12000ea9cf711798941b4c3eca0626115 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/generated_sql.sql @@ -0,0 +1,55 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_64145e38785caea6 +-- problem_id: v2p_m6_68a44fb453f6d886 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "Browser", + CAST("SpecialDay" AS REAL) AS "measure_value" + FROM "m6" + WHERE "Browser" IS NOT NULL + AND "SpecialDay" IS NOT NULL +), +"eligible" AS ( + SELECT + "Browser" + FROM "base" + GROUP BY "Browser" + HAVING COUNT(*) >= 5 +), +"ranked" AS ( + SELECT + "Browser", + "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Browser" + ORDER BY "measure_value" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Browser" + ) AS "cnt" + FROM "base" + WHERE "Browser" IN (SELECT "Browser" FROM "eligible") +), +"percentiles" AS ( + SELECT + "Browser", + MIN("measure_value") AS "percentile_measure" + FROM "ranked" + WHERE "rn" >= CAST((9 * "cnt" + 9) / 10 AS INTEGER) + GROUP BY "Browser" +) +SELECT + "Browser", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC, "Browser"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74baa0393eac5b3cbf0e89c4299eb7b86ad8ba2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/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 \"base\" AS (\n SELECT\n \"Browser\",\n CAST(\"SpecialDay\" AS REAL) AS \"measure_value\"\n FROM \"m6\"\n WHERE \"Browser\" IS NOT NULL\n AND \"SpecialDay\" IS NOT NULL\n),\n\"eligible\" AS (\n SELECT\n \"Browser\"\n FROM \"base\"\n GROUP BY \"Browser\"\n HAVING COUNT(*) >= 5\n),\n\"ranked\" AS (\n SELECT\n \"Browser\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Browser\"\n ORDER BY \"measure_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Browser\"\n ) AS \"cnt\"\n FROM \"base\"\n WHERE \"Browser\" IN (SELECT \"Browser\" FROM \"eligible\")\n),\n\"percentiles\" AS (\n SELECT\n \"Browser\",\n MIN(\"measure_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" >= CAST((9 * \"cnt\" + 9) / 10 AS INTEGER)\n GROUP BY \"Browser\"\n)\nSELECT\n \"Browser\",\n \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC, \"Browser\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n CAST(\\\"SpecialDay\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Browser\\\" IS NOT NULL\\n AND \\\"SpecialDay\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT\\n \\\"Browser\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"Browser\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Browser\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Browser\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n WHERE \\\"Browser\\\" IN (SELECT \\\"Browser\\\" FROM \\\"eligible\\\")\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST((9 * \\\"cnt\\\" + 9) / 10 AS INTEGER)\\n GROUP BY \\\"Browser\\\"\\n)\\nSELECT\\n \\\"Browser\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Browser\\\";\", \"columns\": [\"Browser\", \"percentile_measure\"], \"rows\": [{\"Browser\": \"3\", \"percentile_measure\": 0.6}, {\"Browser\": \"6\", \"percentile_measure\": 0.6}, {\"Browser\": \"5\", \"percentile_measure\": 0.4}, {\"Browser\": \"10\", \"percentile_measure\": 0.2}, {\"Browser\": \"2\", \"percentile_measure\": 0.2}, {\"Browser\": \"1\", \"percentile_measure\": 0.0}, {\"Browser\": \"11\", \"percentile_measure\": 0.0}, {\"Browser\": \"12\", \"percentile_measure\": 0.0}, {\"Browser\": \"13\", \"percentile_measure\": 0.0}, {\"Browser\": \"4\", \"percentile_measure\": 0.0}, {\"Browser\": \"7\", \"percentile_measure\": 0.0}, {\"Browser\": \"8\", \"percentile_measure\": 0.0}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 35.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b7aa0a2fff5a75f95397830ab6d874972c12ca28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:58:30.132191+00:00", + "ended_at": "2026-05-19T15:59:02.877953+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_64145e38785caea6", + "problem_id": "v2p_m6_68a44fb453f6d886", + "dataset_id": "m6", + "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=Browser, measure_col=SpecialDay.", + "bindings": { + "group_col": "Browser", + "measure_col": "SpecialDay", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_b/m6/sql/v2q_m6_64145e38785caea6.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_64145e38785caea6", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 2031, + "total_tokens": 17004, + "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": 32705.42, + "sql_execution_elapsed_ms_total": 35.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d3851db539adaf1205efa89b88f709425f73258 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:02.840253+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": 32705.42, "started_at": "2026-05-19T15:58:30.133830+00:00", "ended_at": "2026-05-19T15:59:02.839278+00:00", "prompt_metrics": {"chars": 10576, "bytes_utf8": 10576, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 1242, "bytes_utf8": 1242, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 2031, "reasoning_output_tokens": 1663}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n CAST(\\\"SpecialDay\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Browser\\\" IS NOT NULL\\n AND \\\"SpecialDay\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT\\n \\\"Browser\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"Browser\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Browser\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Browser\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n WHERE \\\"Browser\\\" IN (SELECT \\\"Browser\\\" FROM \\\"eligible\\\")\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST((9 * \\\"cnt\\\" + 9) / 10 AS INTEGER)\\n GROUP BY \\\"Browser\\\"\\n)\\nSELECT\\n \\\"Browser\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_meas"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5332e34e03b1c885341d36dab08dd641b42f10d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_64145e38785caea6", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 2031, + "total_tokens": 17004, + "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": 32705.42, + "sql_execution_elapsed_ms_total": 35.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaf1f52de29aa3318f96466ca46052ebc20855f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Administrative": "0", "support": 5768, "avg_response": 9.895687722925278}, {"Administrative": "1", "support": 1354, "avg_response": 27.621949075211962}, {"Administrative": "2", "support": 1114, "avg_response": 31.06671924423698}, {"Administrative": "3", "support": 915, "avg_response": 43.08117356222951}, {"Administrative": "4", "support": 765, "avg_response": 45.657407407865364}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..90a3ebac051960c927685e229b657be3dbae0c42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_64d3f33458192827 +-- problem_id: v2p_m6_20e220599112d87f +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Administrative", + COUNT(*) AS support, + AVG("Informational_Duration") AS avg_response +FROM "m6" +GROUP BY "Administrative" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c2521edf12f8640ccae087fcd4478c449b2789e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/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_b\n-- sql_source_dataset_id: m6\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_m6_64d3f33458192827\n-- problem_id: v2p_m6_20e220599112d87f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Administrative\",\n COUNT(*) AS support,\n AVG(\"Informational_Duration\") AS avg_response\nFROM \"m6\"\nGROUP BY \"Administrative\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_64d3f33458192827\\n-- problem_id: v2p_m6_20e220599112d87f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Administrative\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Informational_Duration\\\") AS avg_response\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Administrative\", \"support\", \"avg_response\"], \"rows\": [{\"Administrative\": \"0\", \"support\": 5768, \"avg_response\": 9.895687722925278}, {\"Administrative\": \"1\", \"support\": 1354, \"avg_response\": 27.621949075211962}, {\"Administrative\": \"2\", \"support\": 1114, \"avg_response\": 31.06671924423698}, {\"Administrative\": \"3\", \"support\": 915, \"avg_response\": 43.08117356222951}, {\"Administrative\": \"4\", \"support\": 765, \"avg_response\": 45.657407407865364}, {\"Administrative\": \"5\", \"support\": 575, \"avg_response\": 44.395811445874784}, {\"Administrative\": \"6\", \"support\": 432, \"avg_response\": 67.57120342819445}, {\"Administrative\": \"7\", \"support\": 338, \"avg_response\": 76.09508875786983}, {\"Administrative\": \"8\", \"support\": 287, \"avg_response\": 118.33736271449477}, {\"Administrative\": \"9\", \"support\": 225, \"avg_response\": 92.84525290915555}, {\"Administrative\": \"10\", \"support\": 153, \"avg_response\": 105.85386257614378}, {\"Administrative\": \"11\", \"support\": 105, \"avg_response\": 150.85299320380952}, {\"Administrative\": \"12\", \"support\": 86, \"avg_response\": 150.08465116197675}, {\"Administrative\": \"13\", \"support\": 56, \"avg_response\": 119.88901360410715}, {\"Administrative\": \"14\", \"support\": 44, \"avg_response\": 217.62978895227272}, {\"Administrative\": \"15\", \"support\": 38, \"avg_response\": 228.54780702631578}, {\"Administrative\": \"16\", \"support\": 24, \"avg_response\": 111.31868055708333}, {\"Administrative\": \"17\", \"support\": 16, \"avg_response\": 369.66339283125}, {\"Administrative\": \"18\", \"support\": 12, \"avg_response\": 206.95138888333335}, {\"Administrative\": \"19\", \"support\": 6, \"avg_response\": 88.73333333333333}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6580f9b1d9eb90e0811e534672f8dcb1ff09b996 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.124017+00:00", + "ended_at": "2026-05-19T16:09:18.130128+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_64d3f33458192827", + "problem_id": "v2p_m6_20e220599112d87f", + "dataset_id": "m6", + "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=Informational_Duration, key_col=Administrative.", + "bindings": { + "key_col": "Administrative", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_64d3f33458192827.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_b/m6/artifacts/v2q_m6_64d3f33458192827/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64d3f33458192827/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_b/m6/artifacts/v2q_m6_67ad158d9739b537/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bcc8c6c17090d335dad04951f7af59e081acef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/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=Revenue, measure_col=BounceRates. +Result preview: [{"Revenue": "FALSE", "group_value": 263.85619396600003}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..600016bed949513b09393f9e01f1dbd5943ddfe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_67ad158d9739b537 +-- problem_id: v2p_m6_9a23b8fe17f354ed +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Revenue", SUM(CAST("BounceRates" AS REAL)) AS group_value + FROM "m6" + GROUP BY "Revenue" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Revenue", 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_b/m6/artifacts/v2q_m6_67ad158d9739b537/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3398e0630ad7c4a2735138a0c81d56dab1e11c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/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 \"Revenue\", SUM(CAST(\"BounceRates\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Revenue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Revenue\", 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 \\\"Revenue\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Revenue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Revenue\\\", 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\": [\"Revenue\", \"group_value\"], \"rows\": [{\"Revenue\": \"FALSE\", \"group_value\": 263.85619396600003}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..12282491474c837a9f564ccdd73ed57e128c264f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:46:26.813453+00:00", + "ended_at": "2026-05-19T15:46:39.223534+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_67ad158d9739b537", + "problem_id": "v2p_m6_9a23b8fe17f354ed", + "dataset_id": "m6", + "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=Revenue, measure_col=BounceRates.", + "bindings": { + "group_col": "Revenue", + "measure_col": "BounceRates", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_67ad158d9739b537.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_67ad158d9739b537", + "api_calls": 0, + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 435, + "total_tokens": 15507, + "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": 12390.33, + "sql_execution_elapsed_ms_total": 13.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3bb7f1e010e1aeb5d1cda7481a91c2b825c35cdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:39.207067+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": 12390.33, "started_at": "2026-05-19T15:46:26.815145+00:00", "ended_at": "2026-05-19T15:46:39.205519+00:00", "prompt_metrics": {"chars": 10960, "bytes_utf8": 10960, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15072, "cached_input_tokens": 13696, "output_tokens": 435, "reasoning_output_tokens": 275}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Revenue\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Revenue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Revenue\\\", 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=\\\"Revenue\\\" and measure_col=\\\"BounceRates\\\". Cast \\\"BounceRates\\\" from TEXT to REAL so SQLite can sum it numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..722f9487069a8376f860453a46c060308c0d892e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_67ad158d9739b537", + "api_calls": 0, + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 435, + "total_tokens": 15507, + "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": 12390.33, + "sql_execution_elapsed_ms_total": 13.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4c2d30d408d1ee62a08470226d937ceb2978897d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6da9782f357f5093", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 2443, + "total_tokens": 17416, + "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": 39727.76, + "sql_execution_elapsed_ms_total": 72.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..373ddb7bba57ea369b29942ac3eb939b5d982812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/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": "2026-05-19T15:51:44.160734+00:00", + "ended_at": "2026-05-19T15:52:23.888527+00:00", + "elapsed_ms": 39727.76, + "prompt_metrics": { + "chars": 10584, + "bytes_utf8": 10584, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2459, + "bytes_utf8": 2459, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1799, + "bytes_utf8": 1799, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 2443, + "reasoning_output_tokens": 1840 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e71b4f81710c121f8ad2069095a89ca908f036c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Weekend, measure_col=Informational.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..844510fc793597d41dd1387e2fe60b494d6dda25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-9854-70f0-bd2b-203edfbc4c3c"} +{"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 \\\"Weekend\\\",\\n CAST(NULLIF(\\\"Informational\\\", '') AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Weekend\\\"\\n ORDER BY CAST(NULLIF(\\\"Informational\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Weekend\\\") AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Weekend\\\" IS NOT NULL\\n AND NULLIF(\\\"Informational\\\", '') IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Weekend\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"target_rank\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM (\\n SELECT DISTINCT \\\"Weekend\\\", \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n )\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"p\\\".\\\"Weekend\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"lower_rn\\\" = \\\"p\\\".\\\"upper_rn\\\" THEN \\\"lo\\\".\\\"measure_value\\\"\\n ELSE \\\"lo\\\".\\\"measure_value\\\" + (\\\"p\\\".\\\"target_rank\\\" - \\\"p\\\".\\\"lower_rn\\\") * (\\\"hi\\\".\\\"measure_value\\\" - \\\"lo\\\".\\\"measure_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS \\\"p\\\"\\nJOIN \\\"ordered\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"Weekend\\\" = \\\"p\\\".\\\"Weekend\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"p\\\".\\\"lower_rn\\\"\\nJOIN \\\"ordered\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"Weekend\\\" = \\\"p\\\".\\\"Weekend\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"p\\\".\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite lacks PERCENTILE_CONT, so this query emulates PERCENTILE_CONT(0.95) with window functions and linear interpolation, grouping by \\\"Weekend\\\" and casting text-backed \\\"Informational\\\" values to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":13696,"output_tokens":2443,"reasoning_output_tokens":1840}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d8a7257b85cff0194d6afb3c65639c2bf433675 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Weekend\",\n CAST(NULLIF(\"Informational\", '') AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Weekend\"\n ORDER BY CAST(NULLIF(\"Informational\", '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Weekend\") AS \"cnt\"\n FROM \"m6\"\n WHERE \"Weekend\" IS NOT NULL\n AND NULLIF(\"Informational\", '') IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"Weekend\",\n \"cnt\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"target_rank\",\n CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM (\n SELECT DISTINCT \"Weekend\", \"cnt\"\n FROM \"ordered\"\n )\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"p\".\"Weekend\",\n CASE\n WHEN \"p\".\"lower_rn\" = \"p\".\"upper_rn\" THEN \"lo\".\"measure_value\"\n ELSE \"lo\".\"measure_value\" + (\"p\".\"target_rank\" - \"p\".\"lower_rn\") * (\"hi\".\"measure_value\" - \"lo\".\"measure_value\")\n END AS \"percentile_measure\"\nFROM \"params\" AS \"p\"\nJOIN \"ordered\" AS \"lo\"\n ON \"lo\".\"Weekend\" = \"p\".\"Weekend\"\n AND \"lo\".\"rn\" = \"p\".\"lower_rn\"\nJOIN \"ordered\" AS \"hi\"\n ON \"hi\".\"Weekend\" = \"p\".\"Weekend\"\n AND \"hi\".\"rn\" = \"p\".\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite lacks PERCENTILE_CONT, so this query emulates PERCENTILE_CONT(0.95) with window functions and linear interpolation, grouping by \"Weekend\" and casting text-backed \"Informational\" values to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad2525d4b72675936c263f8f8c6fd07cb66cd88f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10709, "bytes_utf8": 10709, "lines": 316, "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": 15027, "cached_input_tokens": 13696, "output_tokens": 311, "reasoning_output_tokens": 199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..47bbbacec41cd9317283ab943e246eca3a53f2b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6dac10ff49891cbb", + "api_calls": 0, + "input_tokens": 15027, + "cached_input_tokens": 13696, + "output_tokens": 311, + "total_tokens": 15338, + "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": 12045.68, + "sql_execution_elapsed_ms_total": 5.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..55ed2c4b8d1fdc6e3c7e5b3aebeed9f7b2881c57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:05.994508+00:00", + "ended_at": "2026-05-19T15:42:18.040215+00:00", + "elapsed_ms": 12045.68, + "prompt_metrics": { + "chars": 10709, + "bytes_utf8": 10709, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 815, + "bytes_utf8": 815, + "lines": 4, + "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": 15027, + "cached_input_tokens": 13696, + "output_tokens": 311, + "reasoning_output_tokens": 199 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a692d20cb9ad874760f0efcac0c584e512fdc20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Weekend, group_col_2=Revenue.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Weekend", + "group_col_2": "Revenue", + "predicate_col": "Administrative", + "predicate_op": ">=", + "predicate_value": 4.0, + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..28599f36656aaaea7c8f20922951ab5b7995638f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-c5c9-76f2-89be-a1271928bb50"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Weekend\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Administrative\\\" AS REAL) >= 4.0\\nGROUP BY \\\"Weekend\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with Weekend and Revenue as grouping columns. CAST(\\\"Administrative\\\" AS REAL) is needed because the SQLite schema stores this numeric field as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15027,"cached_input_tokens":13696,"output_tokens":311,"reasoning_output_tokens":199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e21b3a04b383c2818155a8a01b931945c3686c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Weekend\", \"Revenue\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Administrative\" AS REAL) >= 4.0\nGROUP BY \"Weekend\", \"Revenue\"\nORDER BY row_count DESC;","notes":"Used the planned filtered two-dimensional group count template with Weekend and Revenue as grouping columns. CAST(\"Administrative\" AS REAL) is needed because the SQLite schema stores this numeric field as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6dac10ff49891cbb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6fb2644e165da335c1203ccd4db7bb0bfc3f78d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10591, "bytes_utf8": 10591, "lines": 312, "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": 992, "bytes_utf8": 992, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14976, "cached_input_tokens": 12032, "output_tokens": 2035, "reasoning_output_tokens": 1742}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..54d900675f7dacab093a30c7a7e3a14367c8bbca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_7032603163043d84", + "api_calls": 0, + "input_tokens": 14976, + "cached_input_tokens": 12032, + "output_tokens": 2035, + "total_tokens": 17011, + "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": 33614.5, + "sql_execution_elapsed_ms_total": 42.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a54892d4c817b3695ade43e769290c6b5e47335a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:28.564577+00:00", + "ended_at": "2026-05-19T15:57:02.179101+00:00", + "elapsed_ms": 33614.5, + "prompt_metrics": { + "chars": 10591, + "bytes_utf8": 10591, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1457, + "bytes_utf8": 1457, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 992, + "bytes_utf8": 992, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14976, + "cached_input_tokens": 12032, + "output_tokens": 2035, + "reasoning_output_tokens": 1742 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12231cda0573d5c6de451016b213291ab3400641 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, measure_col=BounceRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "BounceRates", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1603db2f3aaa7d3cbadef7df2f43f4d88619e14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-ef14-7613-b527-e2d0e07c5a43"} +{"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 \\\"SpecialDay\\\",\\n CAST(\\\"BounceRates\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"SpecialDay\\\"\\n ORDER BY CAST(\\\"BounceRates\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"SpecialDay\\\" IS NOT NULL\\n AND \\\"BounceRates\\\" IS NOT NULL\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"SpecialDay\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"SpecialDay\\\"\\n ORDER BY \\\"cume_dist_value\\\", \\\"measure_value\\\"\\n ) AS \\\"pick_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cume_dist_value\\\" >= 0.9\\n)\\nSELECT\\n \\\"SpecialDay\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"pick_rn\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a CUME_DIST-based nearest-rank 90th percentile per \\\"SpecialDay\\\" group and casts \\\"BounceRates\\\" from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14976,"cached_input_tokens":12032,"output_tokens":2035,"reasoning_output_tokens":1742}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f2e9da0a546ea58b029421689bb848f57767af2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"SpecialDay\",\n CAST(\"BounceRates\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"SpecialDay\"\n ORDER BY CAST(\"BounceRates\" AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"m6\"\n WHERE \"SpecialDay\" IS NOT NULL\n AND \"BounceRates\" IS NOT NULL\n),\n\"picked\" AS (\n SELECT\n \"SpecialDay\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"SpecialDay\"\n ORDER BY \"cume_dist_value\", \"measure_value\"\n ) AS \"pick_rn\"\n FROM \"ranked\"\n WHERE \"cume_dist_value\" >= 0.9\n)\nSELECT\n \"SpecialDay\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"pick_rn\" = 1\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a CUME_DIST-based nearest-rank 90th percentile per \"SpecialDay\" group and casts \"BounceRates\" from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7032603163043d84/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..daa5afc301f1b73d3eb5183746905dd44a893e62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 5768, "support_share": 0.4678021086780211, "cumulative_support": 5768}, {"value_label": "1", "support": 1354, "support_share": 0.10981346309813463, "cumulative_support": 7122}, {"value_label": "2", "support": 1114, "support_share": 0.09034874290348743, "cumulative_support": 8236}, {"value_label": "3", "support": 915, "support_share": 0.07420924574209246, "cumulative_support": 9151}, {"value_label": "4", "support": 765, "support_share": 0.06204379562043796, "cumulative_support": 9916}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e8360ff13b2b4d3169942ed7943d8b43686aa57d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_706ef6f080226cb0 +-- problem_id: v2p_m6_3972922b8cf23159 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Administrative" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "Administrative" +), 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_b/m6/artifacts/v2q_m6_706ef6f080226cb0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eee26bd69cddd06ba4a7d248124baa28ae81ab8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/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_b\n-- sql_source_dataset_id: m6\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_m6_706ef6f080226cb0\n-- problem_id: v2p_m6_3972922b8cf23159\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Administrative\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"Administrative\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_706ef6f080226cb0\\n-- problem_id: v2p_m6_3972922b8cf23159\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Administrative\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Administrative\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 5768, \"support_share\": 0.4678021086780211, \"cumulative_support\": 5768}, {\"value_label\": \"1\", \"support\": 1354, \"support_share\": 0.10981346309813463, \"cumulative_support\": 7122}, {\"value_label\": \"2\", \"support\": 1114, \"support_share\": 0.09034874290348743, \"cumulative_support\": 8236}, {\"value_label\": \"3\", \"support\": 915, \"support_share\": 0.07420924574209246, \"cumulative_support\": 9151}, {\"value_label\": \"4\", \"support\": 765, \"support_share\": 0.06204379562043796, \"cumulative_support\": 9916}, {\"value_label\": \"5\", \"support\": 575, \"support_share\": 0.04663422546634226, \"cumulative_support\": 10491}, {\"value_label\": \"6\", \"support\": 432, \"support_share\": 0.035036496350364967, \"cumulative_support\": 10923}, {\"value_label\": \"7\", \"support\": 338, \"support_share\": 0.027412814274128144, \"cumulative_support\": 11261}, {\"value_label\": \"8\", \"support\": 287, \"support_share\": 0.023276561232765614, \"cumulative_support\": 11548}, {\"value_label\": \"9\", \"support\": 225, \"support_share\": 0.01824817518248175, \"cumulative_support\": 11773}, {\"value_label\": \"10\", \"support\": 153, \"support_share\": 0.012408759124087591, \"cumulative_support\": 11926}, {\"value_label\": \"11\", \"support\": 105, \"support_share\": 0.00851581508515815, \"cumulative_support\": 12031}, {\"value_label\": \"12\", \"support\": 86, \"support_share\": 0.006974858069748581, \"cumulative_support\": 12117}, {\"value_label\": \"13\", \"support\": 56, \"support_share\": 0.004541768045417681, \"cumulative_support\": 12173}, {\"value_label\": \"14\", \"support\": 44, \"support_share\": 0.0035685320356853203, \"cumulative_support\": 12217}, {\"value_label\": \"15\", \"support\": 38, \"support_share\": 0.0030819140308191405, \"cumulative_support\": 12255}, {\"value_label\": \"16\", \"support\": 24, \"support_share\": 0.0019464720194647203, \"cumulative_support\": 12279}, {\"value_label\": \"17\", \"support\": 16, \"support_share\": 0.0012976480129764801, \"cumulative_support\": 12295}, {\"value_label\": \"18\", \"support\": 12, \"support_share\": 0.0009732360097323601, \"cumulative_support\": 12307}, {\"value_label\": \"19\", \"support\": 6, \"support_share\": 0.00048661800486618007, \"cumulative_support\": 12313}, {\"value_label\": \"22\", \"support\": 4, \"support_share\": 0.00032441200324412003, \"cumulative_support\": 12317}, {\"value_label\": \"24\", \"support\": 4, \"support_share\": 0.00032441200324412003, \"cumulative_support\": 12321}, {\"value_label\": \"23\", \"support\": 3, \"support_share\": 0.00024330900243309004, \"cumulative_support\": 12324}, {\"value_label\": \"20\", \"support\": 2, \"support_share\": 0.00016220600162206002, \"cumulative_support\": 12326}, {\"value_label\": \"21\", \"support\": 2, \"support_share\": 0.00016220600162206002, \"cumulative_support\": 12328}, {\"value_label\": \"26\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"cumulative_support\": 12329}, {\"value_label\": \"27\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"cumulative_support\": 12330}], \"row_count_returned\": 27, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9827fe125da0fb9f6143bb5f3135f30c74b3965e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:17.998340+00:00", + "ended_at": "2026-05-19T16:09:18.006286+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_706ef6f080226cb0", + "problem_id": "v2p_m6_3972922b8cf23159", + "dataset_id": "m6", + "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=Administrative.", + "bindings": { + "group_col": "Administrative" + }, + "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_b/m6/sql/v2q_m6_706ef6f080226cb0.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_b/m6/artifacts/v2q_m6_706ef6f080226cb0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_706ef6f080226cb0/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_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e09606841f2c95d2aceacfda2104b56d400ad6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10400, "bytes_utf8": 10400, "lines": 310, "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": 10400, "bytes_utf8": 10400, "lines": 310, "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": 339, "bytes_utf8": 339, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14945, "cached_input_tokens": 13696, "output_tokens": 242, "reasoning_output_tokens": 153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b31cc012817223b5373b07242b8827971d866c58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_7352ae9ccc03784c", + "api_calls": 0, + "input_tokens": 14945, + "cached_input_tokens": 13696, + "output_tokens": 242, + "total_tokens": 15187, + "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": 12126.1, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba7b1b61a9467bf94ca0dbbc38e8fed440493186 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:45.008155+00:00", + "ended_at": "2026-05-19T16:04:48.253381+00:00", + "elapsed_ms": 3245.2, + "returncode": 1, + "prompt_metrics": { + "chars": 10400, + "bytes_utf8": 10400, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc9ec3bb135f242a6e6e6c7a6b445fde87f1e1d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:49.255620+00:00", + "ended_at": "2026-05-19T16:04:58.136563+00:00", + "elapsed_ms": 8880.9, + "prompt_metrics": { + "chars": 10400, + "bytes_utf8": 10400, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 692, + "bytes_utf8": 692, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 339, + "bytes_utf8": 339, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14945, + "cached_input_tokens": 13696, + "output_tokens": 242, + "reasoning_output_tokens": 153 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b71070ff6f406dbeb634ee64c6c11bc3f11cf255 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Administrative.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Administrative", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b71070ff6f406dbeb634ee64c6c11bc3f11cf255 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Administrative.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Administrative", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26a2cab6cf7a4256e2cc70e9af0089560e177227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8252-7a81-a4c8-c9afcf10711b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cc75fc356b32dc04f9db8b5f07b5a7420f1cedb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8252-7a81-a4c8-c9afcf10711b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f7dab7f75b4674aa3aa7af2684c17e7e1ff4467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-92ee-7cc2-b8e6-666f16755c7b"} +{"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 \\\"Administrative\\\",\\n COUNT(*) AS support\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\"\\nORDER BY support ASC, \\\"Administrative\\\"\\nLIMIT 16;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"Administrative\\\" and top_k set to 16.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14945,"cached_input_tokens":13696,"output_tokens":242,"reasoning_output_tokens":153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5905024d7186936d235d837a4d2b79e26da28104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Administrative\",\n COUNT(*) AS support\nFROM \"m6\"\nGROUP BY \"Administrative\"\nORDER BY support ASC, \"Administrative\"\nLIMIT 16;","notes":"Uses the provided Low-Support Group Count template with group_col bound to \"Administrative\" and top_k set to 16."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7352ae9ccc03784c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..06fccbbf008ddbd9925edb46c39e12b892062f51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:08:25.524865+00:00", + "ended_at": "2026-05-19T16:08:32.532568+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_737f751ae1e6c5eb", + "problem_id": "v2p_m6_2169e474b147e6c0", + "dataset_id": "m6", + "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=Browser, measure_col=Browser.", + "bindings": { + "group_col": "Browser", + "measure_col": "Browser", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..45b187704e4d5cad6cd6033f0323ac901543b023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:28.783724+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": 3256.49, "started_at": "2026-05-19T16:08:25.526525+00:00", "ended_at": "2026-05-19T16:08:28.783045+00:00", "prompt_metrics": {"chars": 10479, "bytes_utf8": 10479, "lines": 312, "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-dfbd-7e53-bdb3-08bf227f8e16\"}\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": "2026-05-19T16:08:32.532476+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": 2746.98, "started_at": "2026-05-19T16:08:29.784602+00:00", "ended_at": "2026-05-19T16:08:32.531616+00:00", "prompt_metrics": {"chars": 10479, "bytes_utf8": 10479, "lines": 312, "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-f065-7832-83a2-293700784501\"}\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_b/m6/artifacts/v2q_m6_73830497c14872f5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0dd179c4141c7591348e6517b3e29540242c9cc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/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=Weekend, condition_col=VisitorType. +Result preview: [{"Weekend": "FALSE", "condition_ratio": 6.723456790123457}, {"Weekend": "TRUE", "condition_ratio": 4.9728601252609606}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce2057fe6cc3b0aab6b24898da03cd2e52e510a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_73830497c14872f5 +-- problem_id: v2p_m6_e57fbbfc95390abe +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Weekend", + SUM(CASE WHEN "VisitorType" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "VisitorType" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count + FROM "m6" + GROUP BY "Weekend" +) +SELECT "Weekend", + 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_b/m6/artifacts/v2q_m6_73830497c14872f5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d5cb418589c3e98e04220b691dedffb342845b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/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 \"Weekend\",\n SUM(CASE WHEN \"VisitorType\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Weekend\"\n)\nSELECT \"Weekend\",\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 \\\"Weekend\\\",\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Weekend\\\"\\n)\\nSELECT \\\"Weekend\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Weekend\", \"condition_ratio\"], \"rows\": [{\"Weekend\": \"FALSE\", \"condition_ratio\": 6.723456790123457}, {\"Weekend\": \"TRUE\", \"condition_ratio\": 4.9728601252609606}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c69cc7f04f71d06e027a35c281af271e9d7f9aaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:39:59.998559+00:00", + "ended_at": "2026-05-19T15:40:13.492722+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_73830497c14872f5", + "problem_id": "v2p_m6_e57fbbfc95390abe", + "dataset_id": "m6", + "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=Weekend, condition_col=VisitorType.", + "bindings": { + "group_col": "Weekend", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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_b/m6/sql/v2q_m6_73830497c14872f5.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_73830497c14872f5", + "api_calls": 0, + "input_tokens": 15150, + "cached_input_tokens": 13696, + "output_tokens": 534, + "total_tokens": 15684, + "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": 13483.28, + "sql_execution_elapsed_ms_total": 6.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c2206bf6ea5df01ba9a41bc9942875be9eddc8ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:13.484979+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": 13483.28, "started_at": "2026-05-19T15:40:00.000885+00:00", "ended_at": "2026-05-19T15:40:13.484192+00:00", "prompt_metrics": {"chars": 11249, "bytes_utf8": 11249, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15150, "cached_input_tokens": 13696, "output_tokens": 534, "reasoning_output_tokens": 360}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Weekend\\\",\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Weekend\\\"\\n)\\nSELECT \\\"Weekend\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio query using \\\"Weekend\\\" as the group column and \\\"VisitorType\\\" as the condition column, with Returning_Visitor over New_Visitor.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d794f238e0a801db42c7a79098fb2b6c532c4c18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_73830497c14872f5", + "api_calls": 0, + "input_tokens": 15150, + "cached_input_tokens": 13696, + "output_tokens": 534, + "total_tokens": 15684, + "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": 13483.28, + "sql_execution_elapsed_ms_total": 6.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..be045be0ce71bd5f7c39885d2e8952e925fba0be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/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=Informational, measure_col=Administrative_Duration. +Result preview: [{"Informational": "0", "total_measure": 553984.033673881}, {"Informational": "1", "total_measure": 131585.75400992}, {"Informational": "2", "total_measure": 106129.787468717}, {"Informational": "3", "total_measure": 77131.556139514}, {"Informational": "4", "total_measure": 55001.06732084}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1ffdb7dae493cc5390d4b3c31a35e1f27d94713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_78883416f1d3610e +-- problem_id: v2p_m6_67d826665410d4f3 +-- realization_mode: agent +-- source_kind: agent +SELECT "Informational", SUM(CAST("Administrative_Duration" AS REAL)) AS total_measure +FROM "m6" +GROUP BY "Informational" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c012c73f2871a25f9db2f2233601deb1317445f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/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 \"Informational\", SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Informational\\\", SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Informational\", \"total_measure\"], \"rows\": [{\"Informational\": \"0\", \"total_measure\": 553984.033673881}, {\"Informational\": \"1\", \"total_measure\": 131585.75400992}, {\"Informational\": \"2\", \"total_measure\": 106129.787468717}, {\"Informational\": \"3\", \"total_measure\": 77131.556139514}, {\"Informational\": \"4\", \"total_measure\": 55001.06732084}, {\"Informational\": \"6\", \"total_measure\": 21690.37420327}, {\"Informational\": \"5\", \"total_measure\": 20552.99497934}, {\"Informational\": \"7\", \"total_measure\": 8916.0244206}, {\"Informational\": \"9\", \"total_measure\": 8129.6354814}, {\"Informational\": \"8\", \"total_measure\": 4301.2673592}, {\"Informational\": \"13\", \"total_measure\": 2657.318056}, {\"Informational\": \"24\", \"total_measure\": 2629.253968}, {\"Informational\": \"12\", \"total_measure\": 2202.0250003}, {\"Informational\": \"10\", \"total_measure\": 1118.11885153}, {\"Informational\": \"14\", \"total_measure\": 433.1570175}, {\"Informational\": \"11\", \"total_measure\": 31.1}, {\"Informational\": \"16\", \"total_measure\": 0.0}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..07d047cbe96e4f8c7fafd6f27a2f274b864500b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:28:37.290180+00:00", + "ended_at": "2026-05-19T15:28:48.621925+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_78883416f1d3610e", + "problem_id": "v2p_m6_67d826665410d4f3", + "dataset_id": "m6", + "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=Informational, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "Administrative_Duration", + "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": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_78883416f1d3610e.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_78883416f1d3610e", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 458, + "total_tokens": 15398, + "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": 11323.69, + "sql_execution_elapsed_ms_total": 4.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f501d0641881cadad709f708500ee246633b61ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:48.615969+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": 11323.69, "started_at": "2026-05-19T15:28:37.291618+00:00", "ended_at": "2026-05-19T15:28:48.615332+00:00", "prompt_metrics": {"chars": 10441, "bytes_utf8": 10441, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 393, "bytes_utf8": 393, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 458, "reasoning_output_tokens": 360}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Informational\\\", SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested Grouped Numeric Sum template with \\\"Informational\\\" as the grouping column and casts TEXT-valued \\\"Administrative_Duration\\\" to REAL before summing in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..234c723fae6da8f47e13b049b6681d2f9609c408 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_78883416f1d3610e", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 458, + "total_tokens": 15398, + "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": 11323.69, + "sql_execution_elapsed_ms_total": 4.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb3a532f6c5541affd62278050f289e39c835206 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/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 count_distribution. Focus on group_col=Month. +Result preview: [{"Month": "Feb", "support": 184}, {"Month": "June", "support": 288}, {"Month": "Jul", "support": 432}, {"Month": "Aug", "support": 433}, {"Month": "Sep", "support": 448}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9df780b5c38631feccac2b39e81e7c5da84a907 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m6_78bfca53eae31d38 +-- problem_id: v2p_m6_264fbc770e2f959b +-- realization_mode: agent +-- source_kind: agent +SELECT + "Month", + COUNT(*) AS "support" +FROM "m6" +GROUP BY "Month" +ORDER BY "support" ASC, "Month" +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e25460c6cd4985102aa276ec91e9d50447014aef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/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 \"Month\",\n COUNT(*) AS \"support\"\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY \"support\" ASC, \"Month\"\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Month\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Month\\\"\\nLIMIT 19;\", \"columns\": [\"Month\", \"support\"], \"rows\": [{\"Month\": \"Feb\", \"support\": 184}, {\"Month\": \"June\", \"support\": 288}, {\"Month\": \"Jul\", \"support\": 432}, {\"Month\": \"Aug\", \"support\": 433}, {\"Month\": \"Sep\", \"support\": 448}, {\"Month\": \"Oct\", \"support\": 549}, {\"Month\": \"Dec\", \"support\": 1727}, {\"Month\": \"Mar\", \"support\": 1907}, {\"Month\": \"Nov\", \"support\": 2998}, {\"Month\": \"May\", \"support\": 3364}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..19cceb023faca1e318c2447f5efb73254eda3fe1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:05:48.265084+00:00", + "ended_at": "2026-05-19T16:05:56.744799+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_78bfca53eae31d38", + "problem_id": "v2p_m6_264fbc770e2f959b", + "dataset_id": "m6", + "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=Month.", + "bindings": { + "group_col": "Month", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_78bfca53eae31d38.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_78bfca53eae31d38", + "api_calls": 0, + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 292, + "total_tokens": 15236, + "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": 8464.71, + "sql_execution_elapsed_ms_total": 8.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89c69bcce7a30cd43f51774b3d4e15c088f7cbed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:56.733084+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": 8464.71, "started_at": "2026-05-19T16:05:48.266830+00:00", "ended_at": "2026-05-19T16:05:56.731577+00:00", "prompt_metrics": {"chars": 10382, "bytes_utf8": 10382, "lines": 310, "estimated_tokens": null}, "response_metrics": {"chars": 307, "bytes_utf8": 307, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14944, "cached_input_tokens": 13696, "output_tokens": 292, "reasoning_output_tokens": 201}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Month\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Month\\\"\\nLIMIT 19;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to Month and top_k set to 19.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..61df901250227ab2ab865c49d2291bfc0148a074 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_78bfca53eae31d38", + "api_calls": 0, + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 292, + "total_tokens": 15236, + "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": 8464.71, + "sql_execution_elapsed_ms_total": 8.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78bfca53eae31d38/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9863f9fb9d5de0c6096deada28e3a2c4034a37f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10422, "bytes_utf8": 10422, "lines": 312, "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": 384, "bytes_utf8": 384, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14933, "cached_input_tokens": 12288, "output_tokens": 348, "reasoning_output_tokens": 257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9293a41d84e1034c76d573bf80b029e51f2cb684 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_78c75564ccdff37e", + "api_calls": 0, + "input_tokens": 14933, + "cached_input_tokens": 12288, + "output_tokens": 348, + "total_tokens": 15281, + "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": 8984.22, + "sql_execution_elapsed_ms_total": 4.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7dd8e830ba7b6ca3078330dbc699acaf66700a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/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": "2026-05-19T15:28:28.298296+00:00", + "ended_at": "2026-05-19T15:28:37.282544+00:00", + "elapsed_ms": 8984.22, + "prompt_metrics": { + "chars": 10422, + "bytes_utf8": 10422, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 734, + "bytes_utf8": 734, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 384, + "bytes_utf8": 384, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14933, + "cached_input_tokens": 12288, + "output_tokens": 348, + "reasoning_output_tokens": 257 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28a8e9bb826ceece88b3b3b4603ba65e38d63961 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Administrative, measure_col=Administrative.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Administrative", + "measure_col": "Administrative", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e5026eaac97e48a09889351bddd9741fddfd13e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-4b8a-7262-9c4c-0f4530441356"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Administrative\\\", SUM(CAST(\\\"Administrative\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required grouped numeric sum template with \\\"Administrative\\\" as both group and measure. The measure is cast to REAL because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14933,"cached_input_tokens":12288,"output_tokens":348,"reasoning_output_tokens":257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bb1735c9885cb8fd14aa458c681b4708ce3cbd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Administrative\", SUM(CAST(\"Administrative\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Administrative\"\nORDER BY total_measure DESC;","notes":"Uses the required grouped numeric sum template with \"Administrative\" as both group and measure. The measure is cast to REAL because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78c75564ccdff37e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e6f8b866004e6e057428d7679a1104914b5e421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10421, "bytes_utf8": 10421, "lines": 312, "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": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14939, "cached_input_tokens": 12032, "output_tokens": 312, "reasoning_output_tokens": 217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aeddaed07c47e60eeeabbe362dfd7f1a012b84b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_7a271417564f4c37", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 12032, + "output_tokens": 312, + "total_tokens": 15251, + "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": 8042.48, + "sql_execution_elapsed_ms_total": 10.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3d72d75bc1ea9a914bf46e3b8ab466a59d1c582 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/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": "2026-05-19T15:29:25.829822+00:00", + "ended_at": "2026-05-19T15:29:33.872338+00:00", + "elapsed_ms": 8042.48, + "prompt_metrics": { + "chars": 10421, + "bytes_utf8": 10421, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 719, + "bytes_utf8": 719, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 365, + "bytes_utf8": 365, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14939, + "cached_input_tokens": 12032, + "output_tokens": 312, + "reasoning_output_tokens": 217 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e01d452ce1d5cf00055ae0d0e7afa32f38e780b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Month, measure_col=Informational_Duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Month", + "measure_col": "Informational_Duration", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8eaaa1bdc1c40a864746d665f905189379294d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-2c5c-7111-b0a0-16ea99c5d894"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Month\\\", SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with \\\"Month\\\" as the grouping column and cast \\\"Informational_Duration\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14939,"cached_input_tokens":12032,"output_tokens":312,"reasoning_output_tokens":217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a33c327a53c642deda88a38456b8fbc3a961a20c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Month\", SUM(CAST(\"Informational_Duration\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY total_measure DESC;","notes":"Used the required grouped numeric sum template with \"Month\" as the grouping column and cast \"Informational_Duration\" 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_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a271417564f4c37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..18ac2bf5db8bb6469a8cab016fdac3b0b58f01dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:52:52.594548+00:00", + "ended_at": "2026-05-19T15:53:00.228547+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_7afe6ee9de7f9a7e", + "problem_id": "v2p_m6_8563e55415335d7a", + "dataset_id": "m6", + "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=Revenue, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Informational_Duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {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=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e060a51c3ff4556950990800f91d101fb39b7503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:56.095491+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": 3498.0, "started_at": "2026-05-19T15:52:52.596664+00:00", "ended_at": "2026-05-19T15:52:56.094693+00:00", "prompt_metrics": {"chars": 10600, "bytes_utf8": 10600, "lines": 312, "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-a38c-7413-b326-9137f2f1a200\"}\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": "2026-05-19T15:53:00.228408+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": 3130.28, "started_at": "2026-05-19T15:52:57.096484+00:00", "ended_at": "2026-05-19T15:53:00.226807+00:00", "prompt_metrics": {"chars": 10600, "bytes_utf8": 10600, "lines": 312, "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-b52d-7c42-a01a-8d4b564e926c\"}\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_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d699a428a0b16ae26a178b3becd664dffc6ce0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10398, "bytes_utf8": 10398, "lines": 310, "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": 10398, "bytes_utf8": 10398, "lines": 310, "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": 315, "bytes_utf8": 315, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 12032, "output_tokens": 218, "reasoning_output_tokens": 128}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..339170320d22558e73f998219ad5a00d908a3a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_82ebff170fa614e6", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 218, + "total_tokens": 15164, + "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": 10358.13, + "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_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..899c086ae948211f864cbb0572ad911b39fdf31d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:13.634078+00:00", + "ended_at": "2026-05-19T16:05:17.027475+00:00", + "elapsed_ms": 3393.37, + "returncode": 1, + "prompt_metrics": { + "chars": 10398, + "bytes_utf8": 10398, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..31f6d598785ada1281c2958f1cf989d88caacc59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/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": "2026-05-19T16:05:18.029936+00:00", + "ended_at": "2026-05-19T16:05:24.994748+00:00", + "elapsed_ms": 6964.76, + "prompt_metrics": { + "chars": 10398, + "bytes_utf8": 10398, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 668, + "bytes_utf8": 668, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 315, + "bytes_utf8": 315, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 218, + "reasoning_output_tokens": 128 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c06a99a41f8351eefda9aac3dcb922d371a58947 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Informational.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Informational", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c06a99a41f8351eefda9aac3dcb922d371a58947 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Informational.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Informational", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71b31cebe08745ff7a3c045344a78c31eff172c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-f235-7383-87bf-12725aaaf49b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd8f8c7954ddbfb7da4079bbc909b8f63a92675e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-f235-7383-87bf-12725aaaf49b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..767e056e0704dc32e4aa0bab4d4708d11e2c47e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-036b-7391-8a95-e4a3a7b06e3e"} +{"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 \\\"Informational\\\",\\n COUNT(*) AS support\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY support ASC, \\\"Informational\\\"\\nLIMIT 17;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"Informational\\\" and top_k=17.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14946,"cached_input_tokens":12032,"output_tokens":218,"reasoning_output_tokens":128}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f25155d6fa115bb5c9b04496cd9300e599672e7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Informational\",\n COUNT(*) AS support\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY support ASC, \"Informational\"\nLIMIT 17;","notes":"Uses the Low-Support Group Count template with group_col bound to \"Informational\" and top_k=17."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_82ebff170fa614e6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..58c3321c88a12c9a34507f2622b0ca7f23faffb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10967, "bytes_utf8": 10967, "lines": 312, "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": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15071, "cached_input_tokens": 13696, "output_tokens": 371, "reasoning_output_tokens": 199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9804a5445b949c9a131bfb79d6423857dbaa023a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_853942ee3f9e9d03", + "api_calls": 0, + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 371, + "total_tokens": 15442, + "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": 57998.04, + "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_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f66f87cba71423e444fb225c8d9961c7436542af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:03.404562+00:00", + "ended_at": "2026-05-19T15:50:01.402633+00:00", + "elapsed_ms": 57998.04, + "prompt_metrics": { + "chars": 10967, + "bytes_utf8": 10967, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1064, + "bytes_utf8": 1064, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 693, + "bytes_utf8": 693, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 371, + "reasoning_output_tokens": 199 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2fdd58c2ddcce0023f0e62ca2ba811bd4fdcd87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=OperatingSystems, measure_col=Browser.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Browser", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..639cf95b356e66945e0dc30c47e6cd47972775e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-242e-72b0-aac1-622f2b4c2355"} +{"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 \\\"OperatingSystems\\\", SUM(CAST(\\\"Browser\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"OperatingSystems\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"OperatingSystems\\\", 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=\\\"OperatingSystems\\\", measure_col=\\\"Browser\\\", and fraction_threshold=0.05. Cast \\\"Browser\\\" to REAL because the SQLite schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15071,"cached_input_tokens":13696,"output_tokens":371,"reasoning_output_tokens":199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f8c1234496faf1d704a8bc0bb2e15b8843f0798 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"OperatingSystems\", SUM(CAST(\"Browser\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"OperatingSystems\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"OperatingSystems\", 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=\"OperatingSystems\", measure_col=\"Browser\", and fraction_threshold=0.05. Cast \"Browser\" to REAL because the SQLite schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_853942ee3f9e9d03/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9200367e64511ebcf1fbfa22041923aed6e9780a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:21.642656+00:00", + "ended_at": "2026-05-19T15:56:24.599037+00:00", + "elapsed_ms": 2956.32, + "returncode": 1, + "prompt_metrics": { + "chars": 10591, + "bytes_utf8": 10591, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2796463992cd608089d8c9f35a3fbe1e91db245d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:25.600734+00:00", + "ended_at": "2026-05-19T15:56:28.561593+00:00", + "elapsed_ms": 2960.83, + "returncode": 1, + "prompt_metrics": { + "chars": 10591, + "bytes_utf8": 10591, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4911156e202eee81884307b2753c0cf075f804fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=SpecialDay, measure_col=BounceRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "BounceRates", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4911156e202eee81884307b2753c0cf075f804fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=SpecialDay, measure_col=BounceRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "BounceRates", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e19feae86638580ce733452939e5c586bdcd3e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-d40a-75a0-9003-b6dba96c0aca"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8b3621a011ed4b5968429cf54911ff2bc226034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-d40a-75a0-9003-b6dba96c0aca"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..137c89eb59f9368e23041f476989bcfad37c6fc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-e390-7bb0-a02c-9a5d72609d11"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..752990474b985c9577bf0bb17b65a07254e161ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-e390-7bb0-a02c-9a5d72609d11"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_85f33d9b28a2b8a1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f7d4be0be9c1a1a64857f7644df7c7b760b819f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:08:17.237954+00:00", + "ended_at": "2026-05-19T16:08:25.524494+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_865e7c5122e89b17", + "problem_id": "v2p_m6_9a042449173e2d95", + "dataset_id": "m6", + "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=Browser, measure_col=Browser.", + "bindings": { + "group_col": "Browser", + "measure_col": "Browser", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6fd800435ca7d6e499b5379861a788cd9b5427ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:21.795189+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": 4554.02, "started_at": "2026-05-19T16:08:17.239610+00:00", "ended_at": "2026-05-19T16:08:21.793656+00:00", "prompt_metrics": {"chars": 10474, "bytes_utf8": 10474, "lines": 312, "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-bf73-71e0-88c5-934394490411\"}\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": "2026-05-19T16:08:25.524401+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": 2727.46, "started_at": "2026-05-19T16:08:22.796186+00:00", "ended_at": "2026-05-19T16:08:25.523674+00:00", "prompt_metrics": {"chars": 10474, "bytes_utf8": 10474, "lines": 312, "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-d508-7e03-81d5-692132faa08e\"}\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_b/m6/artifacts/v2q_m6_89b9ba6be6f53045/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_89b9ba6be6f53045/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f15b65daf0b39e18686d146dbff850f3c22bf46f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_89b9ba6be6f53045/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:11.146662+00:00", + "ended_at": "2026-05-19T16:09:17.997771+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_89b9ba6be6f53045", + "problem_id": "v2p_m6_fa2555602ebf5317", + "dataset_id": "m6", + "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=VisitorType, measure_col=Administrative.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_89b9ba6be6f53045/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_89b9ba6be6f53045/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dda39ddbd919a452007cca036a85252f5b0a80d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_89b9ba6be6f53045/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:14.017196+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": 2868.27, "started_at": "2026-05-19T16:09:11.148223+00:00", "ended_at": "2026-05-19T16:09:14.016515+00:00", "prompt_metrics": {"chars": 10500, "bytes_utf8": 10500, "lines": 312, "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-91f2-7d90-b2f3-aafd29c59460\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:17.997642+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": 2977.71, "started_at": "2026-05-19T16:09:15.018818+00:00", "ended_at": "2026-05-19T16:09:17.996581+00:00", "prompt_metrics": {"chars": 10500, "bytes_utf8": 10500, "lines": 312, "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-a102-7381-a9e2-c5b512609693\"}\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_b/m6/artifacts/v2q_m6_8c8c011e5e338864/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..87e6fc6d94b2eeda34b9fbba457f4e96b2a48862 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/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=Month, condition_col=VisitorType. +Result preview: [{"Month": "Feb", "condition_rate": 0.9945652173913043}, {"Month": "May", "condition_rate": 0.9051724137931034}, {"Month": "June", "condition_rate": 0.8923611111111112}, {"Month": "Mar", "condition_rate": 0.8783429470372313}, {"Month": "Jul", "condition_rate": 0.875}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..58c56eef3bb67c6f19e37b3ea06262d4efe7a112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_8c8c011e5e338864 +-- problem_id: v2p_m6_59d607fbd86e687d +-- realization_mode: agent +-- source_kind: agent +SELECT + "Month", + AVG(CASE WHEN "VisitorType" = 'Returning_Visitor' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m6" +GROUP BY "Month" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74712838bfdcdcab6b38ba45d99ca13016b20673 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/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\n \"Month\",\n AVG(CASE WHEN \"VisitorType\" = 'Returning_Visitor' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Month\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Month\", \"condition_rate\"], \"rows\": [{\"Month\": \"Feb\", \"condition_rate\": 0.9945652173913043}, {\"Month\": \"May\", \"condition_rate\": 0.9051724137931034}, {\"Month\": \"June\", \"condition_rate\": 0.8923611111111112}, {\"Month\": \"Mar\", \"condition_rate\": 0.8783429470372313}, {\"Month\": \"Jul\", \"condition_rate\": 0.875}, {\"Month\": \"Nov\", \"condition_rate\": 0.8529019346230821}, {\"Month\": \"Aug\", \"condition_rate\": 0.8337182448036952}, {\"Month\": \"Oct\", \"condition_rate\": 0.7741347905282332}, {\"Month\": \"Dec\", \"condition_rate\": 0.7701215981470758}, {\"Month\": \"Sep\", \"condition_rate\": 0.7589285714285714}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2169a79ca2e5d66b528597058078d01e8010328a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:01:30.950767+00:00", + "ended_at": "2026-05-19T16:01:46.963016+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_8c8c011e5e338864", + "problem_id": "v2p_m6_59d607fbd86e687d", + "dataset_id": "m6", + "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=Month, condition_col=VisitorType.", + "bindings": { + "group_col": "Month", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_8c8c011e5e338864.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_8c8c011e5e338864", + "api_calls": 0, + "input_tokens": 15003, + "cached_input_tokens": 12032, + "output_tokens": 396, + "total_tokens": 15399, + "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": 14991.08, + "sql_execution_elapsed_ms_total": 12.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..662560cf85cc20897e0bc71ebf105d67f265f176 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:34.478549+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": 3525.27, "started_at": "2026-05-19T16:01:30.952506+00:00", "ended_at": "2026-05-19T16:01:34.477799+00:00", "prompt_metrics": {"chars": 10690, "bytes_utf8": 10690, "lines": 315, "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\":\"019e40f8-8c4f-7d72-9de6-f4945fa0e5cb\"}\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": "2026-05-19T16:01:46.947766+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": 11465.81, "started_at": "2026-05-19T16:01:35.480345+00:00", "ended_at": "2026-05-19T16:01:46.946216+00:00", "prompt_metrics": {"chars": 10690, "bytes_utf8": 10690, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15003, "cached_input_tokens": 12032, "output_tokens": 396, "reasoning_output_tokens": 293}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Month\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped by Month and computes the within-month proportion of rows where VisitorType is Returning_Visitor.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5b6df6a2730a61affc242316e6a0eeaa8ef72b3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_8c8c011e5e338864", + "api_calls": 0, + "input_tokens": 15003, + "cached_input_tokens": 12032, + "output_tokens": 396, + "total_tokens": 15399, + "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": 14991.08, + "sql_execution_elapsed_ms_total": 12.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3e48fd13554f2e6fa500e018bc2ec00e8049912 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/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=Administrative, condition_col=Revenue. +Result preview: [{"Administrative": "27", "condition_rate": 1.0}, {"Administrative": "24", "condition_rate": 1.0}, {"Administrative": "23", "condition_rate": 1.0}, {"Administrative": "21", "condition_rate": 1.0}, {"Administrative": "0", "condition_rate": 0.9108876560332871}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..44e7b1c986d34968f29bc6716084d88cb84d274c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_9562a3a00eb04a6f +-- problem_id: v2p_m6_be49830533d7d00d +-- realization_mode: agent +-- source_kind: agent +SELECT "Administrative", + AVG(CASE WHEN "Revenue" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate +FROM "m6" +GROUP BY "Administrative" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7ab0484fabd7f6cf98c5006ea8e7cbf1fc5e70b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/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 \"Administrative\",\n AVG(CASE WHEN \"Revenue\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Administrative\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Administrative\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Administrative\", \"condition_rate\"], \"rows\": [{\"Administrative\": \"27\", \"condition_rate\": 1.0}, {\"Administrative\": \"24\", \"condition_rate\": 1.0}, {\"Administrative\": \"23\", \"condition_rate\": 1.0}, {\"Administrative\": \"21\", \"condition_rate\": 1.0}, {\"Administrative\": \"0\", \"condition_rate\": 0.9108876560332871}, {\"Administrative\": \"19\", \"condition_rate\": 0.8333333333333334}, {\"Administrative\": \"18\", \"condition_rate\": 0.8333333333333334}, {\"Administrative\": \"2\", \"condition_rate\": 0.8159784560143627}, {\"Administrative\": \"3\", \"condition_rate\": 0.8098360655737705}, {\"Administrative\": \"7\", \"condition_rate\": 0.8047337278106509}, {\"Administrative\": \"4\", \"condition_rate\": 0.8}, {\"Administrative\": \"5\", \"condition_rate\": 0.7947826086956522}, {\"Administrative\": \"10\", \"condition_rate\": 0.7908496732026143}, {\"Administrative\": \"15\", \"condition_rate\": 0.7894736842105263}, {\"Administrative\": \"1\", \"condition_rate\": 0.7850812407680945}, {\"Administrative\": \"12\", \"condition_rate\": 0.7558139534883721}, {\"Administrative\": \"17\", \"condition_rate\": 0.75}, {\"Administrative\": \"8\", \"condition_rate\": 0.7456445993031359}, {\"Administrative\": \"6\", \"condition_rate\": 0.7430555555555556}, {\"Administrative\": \"9\", \"condition_rate\": 0.7288888888888889}, {\"Administrative\": \"14\", \"condition_rate\": 0.7272727272727273}, {\"Administrative\": \"11\", \"condition_rate\": 0.7047619047619048}, {\"Administrative\": \"16\", \"condition_rate\": 0.6666666666666666}, {\"Administrative\": \"13\", \"condition_rate\": 0.6607142857142857}, {\"Administrative\": \"22\", \"condition_rate\": 0.5}, {\"Administrative\": \"20\", \"condition_rate\": 0.5}, {\"Administrative\": \"26\", \"condition_rate\": 0.0}], \"row_count_returned\": 27, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ef7474e03fd9933b2023c05fbcd55cdddd650592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:00:16.013034+00:00", + "ended_at": "2026-05-19T16:00:26.725729+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_9562a3a00eb04a6f", + "problem_id": "v2p_m6_be49830533d7d00d", + "dataset_id": "m6", + "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=Administrative, condition_col=Revenue.", + "bindings": { + "group_col": "Administrative", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "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": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_9562a3a00eb04a6f.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9562a3a00eb04a6f", + "api_calls": 0, + "input_tokens": 14995, + "cached_input_tokens": 12032, + "output_tokens": 441, + "total_tokens": 15436, + "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": 10700.91, + "sql_execution_elapsed_ms_total": 6.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36a9173ffb83c172f1eb698535a27368966aaca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:26.717611+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": 10700.91, "started_at": "2026-05-19T16:00:16.015882+00:00", "ended_at": "2026-05-19T16:00:26.716826+00:00", "prompt_metrics": {"chars": 10659, "bytes_utf8": 10659, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 489, "bytes_utf8": 489, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14995, "cached_input_tokens": 12032, "output_tokens": 441, "reasoning_output_tokens": 324}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Administrative\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template, grouping by \\\"Administrative\\\" and computing the rate of rows where \\\"Revenue\\\" equals 'FALSE'. The comparison uses a text literal because the schema snapshot shows \\\"Revenue\\\" stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a8f7939a163841a276b30b5207c3adb3f29b3f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9562a3a00eb04a6f", + "api_calls": 0, + "input_tokens": 14995, + "cached_input_tokens": 12032, + "output_tokens": 441, + "total_tokens": 15436, + "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": 10700.91, + "sql_execution_elapsed_ms_total": 6.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9562a3a00eb04a6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e10ed2a073039869d4855945eef938e2fe74be9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10819, "bytes_utf8": 10819, "lines": 314, "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": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15054, "cached_input_tokens": 12032, "output_tokens": 599, "reasoning_output_tokens": 431}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0b8d2ec32be50165a872bd7d29b2b85819c22e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_976abcd39e204928", + "api_calls": 0, + "input_tokens": 15054, + "cached_input_tokens": 12032, + "output_tokens": 599, + "total_tokens": 15653, + "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": 13324.01, + "sql_execution_elapsed_ms_total": 30.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..86e81e76b5dbd2ede0cc871440d04c0b95d6f4b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/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": "2026-05-19T15:37:23.468794+00:00", + "ended_at": "2026-05-19T15:37:36.792826+00:00", + "elapsed_ms": 13324.01, + "prompt_metrics": { + "chars": 10819, + "bytes_utf8": 10819, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1003, + "bytes_utf8": 1003, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 616, + "bytes_utf8": 616, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15054, + "cached_input_tokens": 12032, + "output_tokens": 599, + "reasoning_output_tokens": 431 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c82346387c06629b050b960222ec3881a130cbe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Revenue, measure_col=ProductRelated.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Revenue", + "measure_col": "ProductRelated", + "item_col": "ExitRates", + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0eff49caf3ce94a4969e546a84092ab149cb099a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-7619-7b32-8419-939904beec98"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Revenue\\\",\\n \\\"ExitRates\\\",\\n SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ProductRelated\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ProductRelated\\\" AS REAL))) OVER (PARTITION BY \\\"Revenue\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\", \\\"ExitRates\\\"\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Uses the required template with group_col=\\\"Revenue\\\", item_col=\\\"ExitRates\\\", and measure_col=\\\"ProductRelated\\\". \\\"ProductRelated\\\" is cast to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15054,"cached_input_tokens":12032,"output_tokens":599,"reasoning_output_tokens":431}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f794c47e0676673b49674f702bc9d5b2f68a4d9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Revenue\",\n \"ExitRates\",\n SUM(CAST(\"ProductRelated\" AS REAL)) AS total_measure,\n SUM(CAST(\"ProductRelated\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ProductRelated\" AS REAL))) OVER (PARTITION BY \"Revenue\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Revenue\", \"ExitRates\"\nORDER BY share_within_group DESC\nLIMIT 12;","notes":"Uses the required template with group_col=\"Revenue\", item_col=\"ExitRates\", and measure_col=\"ProductRelated\". \"ProductRelated\" is cast to REAL because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_976abcd39e204928/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4d3a9c2ad2ca311787245e2f0bdec21ed97266a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 9699, "support_share": 0.78661800486618, "support_rank": 1}, {"value_label": "1", "support": 1041, "support_share": 0.08442822384428224, "support_rank": 2}, {"value_label": "2", "support": 728, "support_share": 0.059042984590429844, "support_rank": 3}, {"value_label": "3", "support": 380, "support_share": 0.030819140308191405, "support_rank": 4}, {"value_label": "4", "support": 222, "support_share": 0.01800486618004866, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc75a3efc253464cc543ce742b26512205ed6cd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_98309a01a25338ef +-- problem_id: v2p_m6_344cba76d309ed70 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Informational" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "Informational" +) +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_b/m6/artifacts/v2q_m6_98309a01a25338ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d92774422669b055f5537236cd43f12031f005c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/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_b\n-- sql_source_dataset_id: m6\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_m6_98309a01a25338ef\n-- problem_id: v2p_m6_344cba76d309ed70\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Informational\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"Informational\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_98309a01a25338ef\\n-- problem_id: v2p_m6_344cba76d309ed70\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Informational\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Informational\\\"\\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\": 9699, \"support_share\": 0.78661800486618, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 1041, \"support_share\": 0.08442822384428224, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 728, \"support_share\": 0.059042984590429844, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 380, \"support_share\": 0.030819140308191405, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 222, \"support_share\": 0.01800486618004866, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 99, \"support_share\": 0.008029197080291971, \"support_rank\": 6}, {\"value_label\": \"6\", \"support\": 78, \"support_share\": 0.006326034063260341, \"support_rank\": 7}, {\"value_label\": \"7\", \"support\": 36, \"support_share\": 0.00291970802919708, \"support_rank\": 8}, {\"value_label\": \"9\", \"support\": 15, \"support_share\": 0.0012165450121654502, \"support_rank\": 9}, {\"value_label\": \"8\", \"support\": 14, \"support_share\": 0.0011354420113544202, \"support_rank\": 10}, {\"value_label\": \"10\", \"support\": 7, \"support_share\": 0.0005677210056772101, \"support_rank\": 11}, {\"value_label\": \"12\", \"support\": 5, \"support_share\": 0.00040551500405515005, \"support_rank\": 12}, {\"value_label\": \"14\", \"support\": 2, \"support_share\": 0.00016220600162206002, \"support_rank\": 13}, {\"value_label\": \"11\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 14}, {\"value_label\": \"13\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 15}, {\"value_label\": \"16\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 16}, {\"value_label\": \"24\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 17}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fd497b5455ac1136d95d19bd25c0b31aae5f3813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.066931+00:00", + "ended_at": "2026-05-19T16:09:18.071414+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_98309a01a25338ef", + "problem_id": "v2p_m6_344cba76d309ed70", + "dataset_id": "m6", + "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=Informational.", + "bindings": { + "group_col": "Informational" + }, + "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_b/m6/sql/v2q_m6_98309a01a25338ef.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_b/m6/artifacts/v2q_m6_98309a01a25338ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_98309a01a25338ef/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_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af61aa93da7dc242da88c90cbb7e1036673596f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:55.046480+00:00", + "ended_at": "2026-05-19T15:59:58.260567+00:00", + "elapsed_ms": 3214.06, + "returncode": 1, + "prompt_metrics": { + "chars": 10654, + "bytes_utf8": 10654, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..50edb0fa6308f3ca701db679e0900a09247f3706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:59.263042+00:00", + "ended_at": "2026-05-19T16:00:02.517720+00:00", + "elapsed_ms": 3254.63, + "returncode": 1, + "prompt_metrics": { + "chars": 10654, + "bytes_utf8": 10654, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..910ec760a32d23a6617dfa1831700f96f7827e14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Revenue, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..910ec760a32d23a6617dfa1831700f96f7827e14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Revenue, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d62e5b61b56ff98cbfd1e81d212886a5392e91ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-15a2-7bb3-8c79-0b9f2557f381"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a53611134282e7c5ca5101bb45d8054acff95bc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-15a2-7bb3-8c79-0b9f2557f381"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c893bb04af536055df54888a1b3646a51bc060e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-2649-73a3-ad12-023d4e6c2996"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bd1d771100b32ec62a003b5324acc86a58fe008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-2649-73a3-ad12-023d4e6c2996"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9ac810eade6e9070/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..064d2bd41adefa7fec3097e9f38739e11c0fb754 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10973, "bytes_utf8": 10973, "lines": 312, "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": 626, "bytes_utf8": 626, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15075, "cached_input_tokens": 13696, "output_tokens": 296, "reasoning_output_tokens": 133}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f153a3f4198332736b7579d6a1ef211aaa860391 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9c8b3e4f5c440d2f", + "api_calls": 0, + "input_tokens": 15075, + "cached_input_tokens": 13696, + "output_tokens": 296, + "total_tokens": 15371, + "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": 8396.34, + "sql_execution_elapsed_ms_total": 11.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82297858e407c0e9a8f352ed4865c2ce3c9dfd6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/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": "2026-05-19T15:45:46.077707+00:00", + "ended_at": "2026-05-19T15:45:54.474084+00:00", + "elapsed_ms": 8396.34, + "prompt_metrics": { + "chars": 10973, + "bytes_utf8": 10973, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 997, + "bytes_utf8": 997, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 626, + "bytes_utf8": 626, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15075, + "cached_input_tokens": 13696, + "output_tokens": 296, + "reasoning_output_tokens": 133 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12d5cf29a348fb36235c140ef38ac1e923aa0a1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=VisitorType, measure_col=ProductRelated.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "VisitorType", + "measure_col": "ProductRelated", + "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": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6273e812ddeabfbce2a4c1d7471427562d0b0ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-2149-7ed2-bf18-da5ebbc9eaf5"} +{"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 \\\"VisitorType\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"VisitorType\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"VisitorType\\\", 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 planned template with group_col=\\\"VisitorType\\\" and measure_col=\\\"ProductRelated\\\". Cast \\\"ProductRelated\\\" to REAL because the schema snapshot stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15075,"cached_input_tokens":13696,"output_tokens":296,"reasoning_output_tokens":133}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..637372c6452afe0a239b79721e8828782a743a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"VisitorType\", SUM(CAST(\"ProductRelated\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"VisitorType\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"VisitorType\", 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 planned template with group_col=\"VisitorType\" and measure_col=\"ProductRelated\". Cast \"ProductRelated\" to REAL because the schema snapshot stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c8b3e4f5c440d2f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cc80e3337fca9f425ca98ea529761339bee7e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-7705-72d2-8430-7ed45f350e8f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Informational\\\", \\\"TrafficType\\\",\\n SUM(CAST(NULLIF(\\\"BounceRates\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"BounceRates\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"BounceRates\\\", '') AS REAL))) OVER (PARTITION BY \\\"Informational\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\", \\\"TrafficType\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"Informational\\\", item_col=\\\"TrafficType\\\", and measure_col=\\\"BounceRates\\\". \\\"BounceRates\\\" is cast from TEXT to REAL using NULLIF for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15056,"cached_input_tokens":13696,"output_tokens":618,"reasoning_output_tokens":439}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..545ba470a7dde8c7d7bbe5ed6386b60cdf471b4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/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=Browser, condition_col=Revenue. +Result preview: [{"Browser": "12", "condition_rate": 0.3}, {"Browser": "13", "condition_rate": 0.26229508196721313}, {"Browser": "10", "condition_rate": 0.19631901840490798}, {"Browser": "5", "condition_rate": 0.1841541755888651}, {"Browser": "4", "condition_rate": 0.1766304347826087}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8a8c5689e049ddfd2f4963112fef9d1936cecb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_9cd82ef9eb0976b8 +-- problem_id: v2p_m6_1438f76916cfdcbf +-- realization_mode: agent +-- source_kind: agent +SELECT "Browser", + AVG(CASE WHEN "Revenue" = 'TRUE' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m6" +GROUP BY "Browser" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca9f264394a398f7374512b81c640c17fb2719dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/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 \"Browser\",\n AVG(CASE WHEN \"Revenue\" = 'TRUE' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Browser\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'TRUE' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Browser\", \"condition_rate\"], \"rows\": [{\"Browser\": \"12\", \"condition_rate\": 0.3}, {\"Browser\": \"13\", \"condition_rate\": 0.26229508196721313}, {\"Browser\": \"10\", \"condition_rate\": 0.19631901840490798}, {\"Browser\": \"5\", \"condition_rate\": 0.1841541755888651}, {\"Browser\": \"4\", \"condition_rate\": 0.1766304347826087}, {\"Browser\": \"11\", \"condition_rate\": 0.16666666666666666}, {\"Browser\": \"8\", \"condition_rate\": 0.15555555555555556}, {\"Browser\": \"2\", \"condition_rate\": 0.15362391659339278}, {\"Browser\": \"1\", \"condition_rate\": 0.14825345247766045}, {\"Browser\": \"7\", \"condition_rate\": 0.12244897959183673}, {\"Browser\": \"6\", \"condition_rate\": 0.11494252873563218}, {\"Browser\": \"3\", \"condition_rate\": 0.047619047619047616}, {\"Browser\": \"9\", \"condition_rate\": 0.0}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7734f1381fd8c69451fa3bd789ef9f62c540075f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:02:26.873154+00:00", + "ended_at": "2026-05-19T16:02:34.790717+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_9cd82ef9eb0976b8", + "problem_id": "v2p_m6_1438f76916cfdcbf", + "dataset_id": "m6", + "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=Browser, condition_col=Revenue.", + "bindings": { + "group_col": "Browser", + "condition_col": "Revenue", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_b/m6/sql/v2q_m6_9cd82ef9eb0976b8.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9cd82ef9eb0976b8", + "api_calls": 0, + "input_tokens": 14995, + "cached_input_tokens": 13696, + "output_tokens": 290, + "total_tokens": 15285, + "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": 7907.72, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b316c9cc080cf22650b95ec0d58a194357bcae35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:34.783307+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": 7907.72, "started_at": "2026-05-19T16:02:26.874803+00:00", "ended_at": "2026-05-19T16:02:34.782544+00:00", "prompt_metrics": {"chars": 10655, "bytes_utf8": 10655, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14995, "cached_input_tokens": 13696, "output_tokens": 290, "reasoning_output_tokens": 183}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Browser\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'TRUE' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=Browser and condition_col=Revenue, measuring the share of rows where Revenue is TRUE within each Browser group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7809a808ec6f102e230fa7dfd93277be8812db64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9cd82ef9eb0976b8", + "api_calls": 0, + "input_tokens": 14995, + "cached_input_tokens": 13696, + "output_tokens": 290, + "total_tokens": 15285, + "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": 7907.72, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f06fba9acaff6c1dd0b2d4c0c49e3e20ce879233 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10581, "bytes_utf8": 10581, "lines": 310, "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": 530, "bytes_utf8": 530, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14990, "cached_input_tokens": 12032, "output_tokens": 306, "reasoning_output_tokens": 159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..052a81ba4e66c0f1c5532ef524d43bd6472954f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_a184c9131bc39057", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 12032, + "output_tokens": 306, + "total_tokens": 15296, + "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": 11070.31, + "sql_execution_elapsed_ms_total": 39.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82ae4802dd2b49996ee3d0f092533d02982fbf47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:42.709109+00:00", + "ended_at": "2026-05-19T15:42:53.779457+00:00", + "elapsed_ms": 11070.31, + "prompt_metrics": { + "chars": 10581, + "bytes_utf8": 10581, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 906, + "bytes_utf8": 906, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 530, + "bytes_utf8": 530, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14990, + "cached_input_tokens": 12032, + "output_tokens": 306, + "reasoning_output_tokens": 159 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de1ce85b74e327498db748116c7ed9306877247f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ProductRelated.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ProductRelated", + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81ce1dc9bf25b07e58777e2c11687d9d056640fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-5524-7151-a3b1-724aa4d0747a"} +{"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 \\\"ProductRelated\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ProductRelated\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"ProductRelated\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"ProductRelated\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"ProductRelated\\\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14990,"cached_input_tokens":12032,"output_tokens":306,"reasoning_output_tokens":159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..23774014124bda0d885f77aef5299582a9820136 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"ProductRelated\",\n NTILE(10) OVER (ORDER BY CAST(\"ProductRelated\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n)\nSELECT \"ProductRelated\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"ProductRelated\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"ProductRelated\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a184c9131bc39057/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa0915e876d9c7f4308b3ecd1a55fbcd19da2e43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10565, "bytes_utf8": 10565, "lines": 310, "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": 507, "bytes_utf8": 507, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14988, "cached_input_tokens": 12032, "output_tokens": 436, "reasoning_output_tokens": 294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..63180189d9a099278b65be486e229add60a76560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_a22607029670a5c4", + "api_calls": 0, + "input_tokens": 14988, + "cached_input_tokens": 12032, + "output_tokens": 436, + "total_tokens": 15424, + "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": 12484.32, + "sql_execution_elapsed_ms_total": 15.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ead9cde723ea130f5cda23ed86e8f4baecdb0b9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:10.121066+00:00", + "ended_at": "2026-05-19T15:44:22.605417+00:00", + "elapsed_ms": 12484.32, + "prompt_metrics": { + "chars": 10565, + "bytes_utf8": 10565, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 883, + "bytes_utf8": 883, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 507, + "bytes_utf8": 507, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14988, + "cached_input_tokens": 12032, + "output_tokens": 436, + "reasoning_output_tokens": 294 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..20f1f37148302dd57d626ba79ec956f7e73a01b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Browser.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Browser", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH 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_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d79fb59dcab7b74b1418582a653a29194dc0ca09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-aa7f-7e40-a598-41781d6081dc"} +{"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 \\\"Browser\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Browser\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"Browser\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"Browser\\\" AS REAL) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"Browser\\\" and num_tiles=10. CAST to REAL is applied because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14988,"cached_input_tokens":12032,"output_tokens":436,"reasoning_output_tokens":294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6eeda706ceddc739adef2fe449316fa55f4e2c8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"Browser\",\n NTILE(10) OVER (ORDER BY CAST(\"Browser\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n)\nSELECT \"Browser\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"Browser\" AS REAL) DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"Browser\" and num_tiles=10. CAST to REAL is applied because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_a22607029670a5c4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77878527f482dd5b1fa2cbd60db3f1fc5ed03def --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/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=Month, measure_col=Browser. +Result preview: [{"Month": "Feb", "TrafficType": "3", "total_measure": 174.0, "share_within_group": 43.39152119700748}, {"Month": "Nov", "TrafficType": "2", "total_measure": 2641.0, "share_within_group": 39.137522228808535}, {"Month": "Dec", "TrafficType": "2", "total_measure": 1680.0, "share_within_group": 37.225792155993794}, {"Month": "Mar", "TrafficType": "1", "total_measure": 1578.0, "share_within_group": 36.109839816933636}, {"Month": "Oct", "TrafficType": "2", "total_measure": 437.0, "share_within_group": 35.7318070318888}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e96cd0c371786999563507d82afd7e37a5990138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_aad27eb76980cc37 +-- problem_id: v2p_m6_cbdcc9ba50ff5722 +-- realization_mode: agent +-- source_kind: agent +SELECT "Month", "TrafficType", + SUM(CAST("Browser" AS REAL)) AS total_measure, + SUM(CAST("Browser" AS REAL)) * 100.0 / SUM(SUM(CAST("Browser" AS REAL))) OVER (PARTITION BY "Month") AS share_within_group +FROM "m6" +GROUP BY "Month", "TrafficType" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46e9e90e68aa832ed783df8a6fb55aef8640a046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/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 \"Month\", \"TrafficType\",\n SUM(CAST(\"Browser\" AS REAL)) AS total_measure,\n SUM(CAST(\"Browser\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Browser\" AS REAL))) OVER (PARTITION BY \"Month\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Month\", \"TrafficType\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Month\\\", \\\"TrafficType\\\",\\n SUM(CAST(\\\"Browser\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Browser\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Browser\\\" AS REAL))) OVER (PARTITION BY \\\"Month\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\", \\\"TrafficType\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Month\", \"TrafficType\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Month\": \"Feb\", \"TrafficType\": \"3\", \"total_measure\": 174.0, \"share_within_group\": 43.39152119700748}, {\"Month\": \"Nov\", \"TrafficType\": \"2\", \"total_measure\": 2641.0, \"share_within_group\": 39.137522228808535}, {\"Month\": \"Dec\", \"TrafficType\": \"2\", \"total_measure\": 1680.0, \"share_within_group\": 37.225792155993794}, {\"Month\": \"Mar\", \"TrafficType\": \"1\", \"total_measure\": 1578.0, \"share_within_group\": 36.109839816933636}, {\"Month\": \"Oct\", \"TrafficType\": \"2\", \"total_measure\": 437.0, \"share_within_group\": 35.7318070318888}, {\"Month\": \"Jul\", \"TrafficType\": \"1\", \"total_measure\": 316.0, \"share_within_group\": 30.739299610894943}, {\"Month\": \"Sep\", \"TrafficType\": \"2\", \"total_measure\": 339.0, \"share_within_group\": 30.430879712746858}, {\"Month\": \"Sep\", \"TrafficType\": \"1\", \"total_measure\": 317.0, \"share_within_group\": 28.45601436265709}, {\"Month\": \"Mar\", \"TrafficType\": \"2\", \"total_measure\": 1222.0, \"share_within_group\": 27.963386727688786}, {\"Month\": \"Aug\", \"TrafficType\": \"1\", \"total_measure\": 287.0, \"share_within_group\": 27.864077669902912}, {\"Month\": \"June\", \"TrafficType\": \"1\", \"total_measure\": 160.0, \"share_within_group\": 23.988005997001498}, {\"Month\": \"Dec\", \"TrafficType\": \"1\", \"total_measure\": 993.0, \"share_within_group\": 22.003102149346333}, {\"Month\": \"Feb\", \"TrafficType\": \"1\", \"total_measure\": 88.0, \"share_within_group\": 21.945137157107233}, {\"Month\": \"May\", \"TrafficType\": \"3\", \"total_measure\": 1734.0, \"share_within_group\": 21.759317354749655}, {\"Month\": \"Aug\", \"TrafficType\": \"2\", \"total_measure\": 222.0, \"share_within_group\": 21.553398058252426}, {\"Month\": \"May\", \"TrafficType\": \"4\", \"total_measure\": 1663.0, \"share_within_group\": 20.868364914041912}, {\"Month\": \"June\", \"TrafficType\": \"2\", \"total_measure\": 138.0, \"share_within_group\": 20.689655172413794}, {\"Month\": \"May\", \"TrafficType\": \"2\", \"total_measure\": 1648.0, \"share_within_group\": 20.680135525159994}, {\"Month\": \"Oct\", \"TrafficType\": \"1\", \"total_measure\": 250.0, \"share_within_group\": 20.44153720359771}, {\"Month\": \"June\", \"TrafficType\": \"3\", \"total_measure\": 133.0, \"share_within_group\": 19.940029985007495}, {\"Month\": \"Jul\", \"TrafficType\": \"2\", \"total_measure\": 192.0, \"share_within_group\": 18.67704280155642}, {\"Month\": \"Mar\", \"TrafficType\": \"3\", \"total_measure\": 778.0, \"share_within_group\": 17.80320366132723}, {\"Month\": \"Dec\", \"TrafficType\": \"20\", \"total_measure\": 799.0, \"share_within_group\": 17.704409483713714}, {\"Month\": \"Jul\", \"TrafficType\": \"4\", \"total_measure\": 179.0, \"share_within_group\": 17.412451361867703}, {\"Month\": \"Nov\", \"TrafficType\": \"1\", \"total_measure\": 1162.0, \"share_within_group\": 17.219917012448132}, {\"Month\": \"Aug\", \"TrafficType\": \"3\", \"total_measure\": 166.0, \"share_within_group\": 16.116504854368934}, {\"Month\": \"Feb\", \"TrafficType\": \"2\", \"total_measure\": 64.0, \"share_within_group\": 15.960099750623442}, {\"Month\": \"Jul\", \"TrafficType\": \"3\", \"total_measure\": 162.0, \"share_within_group\": 15.75875486381323}, {\"Month\": \"Aug\", \"TrafficType\": \"4\", \"total_measure\": 161.0, \"share_within_group\": 15.631067961165048}, {\"Month\": \"June\", \"TrafficType\": \"4\", \"total_measure\": 88.0, \"share_within_group\": 13.193403298350825}, {\"Month\": \"Nov\", \"TrafficType\": \"3\", \"total_measure\": 887.0, \"share_within_group\": 13.144635447540011}, {\"Month\": \"May\", \"TrafficType\": \"1\", \"total_measure\": 1000.0, \"share_within_group\": 12.548625925461161}, {\"Month\": \"Feb\", \"TrafficType\": \"4\", \"total_measure\": 49.0, \"share_within_group\": 12.219451371571072}, {\"Month\": \"Sep\", \"TrafficType\": \"4\", \"total_measure\": 128.0, \"share_within_group\": 11.490125673249551}, {\"Month\": \"Oct\", \"TrafficType\": \"3\", \"total_measure\": 131.0, \"share_within_group\": 10.7113654946852}, {\"Month\": \"Sep\", \"TrafficType\": \"3\", \"total_measure\": 115.0, \"share_within_group\": 10.323159784560143}, {\"Month\": \"Sep\", \"TrafficType\": \"5\", \"total_measure\": 114.0, \"share_within_group\": 10.23339317773788}, {\"Month\": \"June\", \"TrafficType\": \"13\", \"total_measure\": 68.0, \"share_within_group\": 10.194902548725636}, {\"Month\": \"Oct\", \"TrafficType\": \"20\", \"total_measure\": 110.0, \"share_within_group\": 8.994276369582993}, {\"Month\": \"Oct\", \"TrafficType\": \"4\", \"total_measure\": 109.0, \"share_within_group\": 8.912510220768603}, {\"Month\": \"Aug\", \"TrafficType\": \"5\", \"total_measure\": 85.0, \"share_within_group\": 8.25242718446602}, {\"Month\": \"Jul\", \"TrafficType\": \"13\", \"total_measure\": 84.0, \"share_within_group\": 8.171206225680933}, {\"Month\": \"May\", \"TrafficType\": \"13\", \"total_measure\": 639.0, \"share_within_group\": 8.018571966369683}, {\"Month\": \"May\", \"TrafficType\": \"6\", \"total_measure\": 636.0, \"share_within_group\": 7.980926088593299}, {\"Month\": \"Dec\", \"TrafficType\": \"3\", \"total_measure\": 328.0, \"share_within_group\": 7.267892754265455}, {\"Month\": \"June\", \"TrafficType\": \"5\", \"total_measure\": 45.0, \"share_within_group\": 6.746626686656672}, {\"Month\": \"Oct\", \"TrafficType\": \"5\", \"total_measure\": 81.0, \"share_within_group\": 6.623058053965658}, {\"Month\": \"Mar\", \"TrafficType\": \"10\", \"total_measure\": 288.0, \"share_within_group\": 6.590389016018307}, {\"Month\": \"Nov\", \"TrafficType\": \"10\", \"total_measure\": 420.0, \"share_within_group\": 6.224066390041494}, {\"Month\": \"Nov\", \"TrafficType\": \"11\", \"total_measure\": 410.0, \"share_within_group\": 6.075874333135744}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 22.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..86a6cc21ca93998bf2bbf1af1fe993d76d7d3839 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:34:18.477947+00:00", + "ended_at": "2026-05-19T15:34:36.597767+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_aad27eb76980cc37", + "problem_id": "v2p_m6_cbdcc9ba50ff5722", + "dataset_id": "m6", + "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=Month, measure_col=Browser.", + "bindings": { + "group_col": "Month", + "measure_col": "Browser", + "item_col": "TrafficType", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_aad27eb76980cc37.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_aad27eb76980cc37", + "api_calls": 0, + "input_tokens": 15052, + "cached_input_tokens": 12032, + "output_tokens": 673, + "total_tokens": 15725, + "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": 18088.8, + "sql_execution_elapsed_ms_total": 22.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..61eae6f1627731bde1b14a7c718066f725bd0a75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:36.571471+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": 18088.8, "started_at": "2026-05-19T15:34:18.481037+00:00", "ended_at": "2026-05-19T15:34:36.569878+00:00", "prompt_metrics": {"chars": 10804, "bytes_utf8": 10804, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 597, "bytes_utf8": 597, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15052, "cached_input_tokens": 12032, "output_tokens": 673, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Month\\\", \\\"TrafficType\\\",\\n SUM(CAST(\\\"Browser\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Browser\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Browser\\\" AS REAL))) OVER (PARTITION BY \\\"Month\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\", \\\"TrafficType\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided within-group share template with group_col=\\\"Month\\\", item_col=\\\"TrafficType\\\", and measure_col=\\\"Browser\\\". CAST to REAL is used because the schema snapshot stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b16ded82f1bc102de5155ce36fc3e9ee2f3ddcf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_aad27eb76980cc37", + "api_calls": 0, + "input_tokens": 15052, + "cached_input_tokens": 12032, + "output_tokens": 673, + "total_tokens": 15725, + "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": 18088.8, + "sql_execution_elapsed_ms_total": 22.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d7f024d3801ec6f79aaaf2142a0ec2b284ee1cd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:51.093688+00:00", + "ended_at": "2026-05-19T16:08:53.982151+00:00", + "elapsed_ms": 2888.43, + "returncode": 1, + "prompt_metrics": { + "chars": 10490, + "bytes_utf8": 10490, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7538002b3c4f6284e7772ea4457c5c85dbb45601 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-30bf-7a00-aaac-f386fc7fdafd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..89fd9c59cb1f095d7d9552aebfebfd8f65d55294 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-43a8-7703-a4e4-fd1e225fea29"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af1ef50a09af444b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af1ef50a09af444b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c9585e145aed9969ad540ab9522988d293438a8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af1ef50a09af444b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:03:22.595117+00:00", + "ended_at": "2026-05-19T16:03:29.694624+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_af1ef50a09af444b", + "problem_id": "v2p_m6_8d629fc1d512ac7c", + "dataset_id": "m6", + "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=Administrative.", + "bindings": { + "measure_col": "Administrative", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "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_b/m6/artifacts/v2q_m6_af1ef50a09af444b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af1ef50a09af444b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..41d94f23a98c56a059ff5c28e11110b7c296eb8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af1ef50a09af444b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:25.729820+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": 3131.81, "started_at": "2026-05-19T16:03:22.597276+00:00", "ended_at": "2026-05-19T16:03:25.729116+00:00", "prompt_metrics": {"chars": 10346, "bytes_utf8": 10346, "lines": 310, "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-4079-7800-9147-03d50a85b95d\"}\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": "2026-05-19T16:03:29.694535+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": 2962.15, "started_at": "2026-05-19T16:03:26.731049+00:00", "ended_at": "2026-05-19T16:03:29.693240+00:00", "prompt_metrics": {"chars": 10346, "bytes_utf8": 10346, "lines": 310, "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-5078-7933-951d-dee2077986c1\"}\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_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4072be14b71dc0731be5be327428af7052e1f806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/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=Browser, condition_col=Revenue. +Result preview: [{"Browser": "9", "condition_rate": 1.0}, {"Browser": "3", "condition_rate": 0.9523809523809523}, {"Browser": "6", "condition_rate": 0.8850574712643678}, {"Browser": "7", "condition_rate": 0.8775510204081632}, {"Browser": "1", "condition_rate": 0.8517465475223396}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f86cc425b19a498ba21112eb68f1c1fda15e7fdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_b27b127d52f7f20f +-- problem_id: v2p_m6_b1b5612a5a0fdb70 +-- realization_mode: agent +-- source_kind: agent +SELECT "Browser", + AVG(CASE WHEN "Revenue" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate +FROM "m6" +GROUP BY "Browser" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b447cb97e95c102ad9784593ab50e9580bb4cd65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/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 \"Browser\",\n AVG(CASE WHEN \"Revenue\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Browser\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Browser\", \"condition_rate\"], \"rows\": [{\"Browser\": \"9\", \"condition_rate\": 1.0}, {\"Browser\": \"3\", \"condition_rate\": 0.9523809523809523}, {\"Browser\": \"6\", \"condition_rate\": 0.8850574712643678}, {\"Browser\": \"7\", \"condition_rate\": 0.8775510204081632}, {\"Browser\": \"1\", \"condition_rate\": 0.8517465475223396}, {\"Browser\": \"2\", \"condition_rate\": 0.8463760834066072}, {\"Browser\": \"8\", \"condition_rate\": 0.8444444444444444}, {\"Browser\": \"11\", \"condition_rate\": 0.8333333333333334}, {\"Browser\": \"4\", \"condition_rate\": 0.8233695652173914}, {\"Browser\": \"5\", \"condition_rate\": 0.815845824411135}, {\"Browser\": \"10\", \"condition_rate\": 0.803680981595092}, {\"Browser\": \"13\", \"condition_rate\": 0.7377049180327869}, {\"Browser\": \"12\", \"condition_rate\": 0.7}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7e1b5b68d1124dae69ce718257baa4f72283d644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:02:13.159964+00:00", + "ended_at": "2026-05-19T16:02:26.872423+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_b27b127d52f7f20f", + "problem_id": "v2p_m6_b1b5612a5a0fdb70", + "dataset_id": "m6", + "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=Browser, condition_col=Revenue.", + "bindings": { + "group_col": "Browser", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=9", + "sql_variant_index=1/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_b/m6/sql/v2q_m6_b27b127d52f7f20f.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b27b127d52f7f20f", + "api_calls": 0, + "input_tokens": 14996, + "cached_input_tokens": 13696, + "output_tokens": 278, + "total_tokens": 15274, + "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": 12698.29, + "sql_execution_elapsed_ms_total": 7.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b65d33bc7da4a1b46537143c28b64c9ebbce126f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:17.580152+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": 4417.07, "started_at": "2026-05-19T16:02:13.161806+00:00", "ended_at": "2026-05-19T16:02:17.578906+00:00", "prompt_metrics": {"chars": 10659, "bytes_utf8": 10659, "lines": 315, "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\":\"019e40f9-3124-78b3-b050-a9a42f4fe881\"}\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": "2026-05-19T16:02:26.863321+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": 8281.22, "started_at": "2026-05-19T16:02:18.581066+00:00", "ended_at": "2026-05-19T16:02:26.862323+00:00", "prompt_metrics": {"chars": 10659, "bytes_utf8": 10659, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14996, "cached_input_tokens": 13696, "output_tokens": 278, "reasoning_output_tokens": 184}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Browser\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-browser proportion of rows where \\\"Revenue\\\" is 'FALSE' using the grouped condition rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..61718d5524745e8740fbf347f6364bc1dc82451d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b27b127d52f7f20f", + "api_calls": 0, + "input_tokens": 14996, + "cached_input_tokens": 13696, + "output_tokens": 278, + "total_tokens": 15274, + "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": 12698.29, + "sql_execution_elapsed_ms_total": 7.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..be045be0ce71bd5f7c39885d2e8952e925fba0be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/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=Informational, measure_col=Administrative_Duration. +Result preview: [{"Informational": "0", "total_measure": 553984.033673881}, {"Informational": "1", "total_measure": 131585.75400992}, {"Informational": "2", "total_measure": 106129.787468717}, {"Informational": "3", "total_measure": 77131.556139514}, {"Informational": "4", "total_measure": 55001.06732084}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa81ed2f2d17d4af437f6df734f720d6d3057ff5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_b404341b5bb2393a +-- problem_id: v2p_m6_141f8586bff97576 +-- realization_mode: agent +-- source_kind: agent +SELECT "Informational", SUM(CAST(NULLIF("Administrative_Duration", '') AS REAL)) AS total_measure +FROM "m6" +GROUP BY "Informational" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d5d76c7b0e77e6ff7d29b0a846db35ce27fbe366 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/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 \"Informational\", SUM(CAST(NULLIF(\"Administrative_Duration\", '') AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Informational\\\", SUM(CAST(NULLIF(\\\"Administrative_Duration\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Informational\", \"total_measure\"], \"rows\": [{\"Informational\": \"0\", \"total_measure\": 553984.033673881}, {\"Informational\": \"1\", \"total_measure\": 131585.75400992}, {\"Informational\": \"2\", \"total_measure\": 106129.787468717}, {\"Informational\": \"3\", \"total_measure\": 77131.556139514}, {\"Informational\": \"4\", \"total_measure\": 55001.06732084}, {\"Informational\": \"6\", \"total_measure\": 21690.37420327}, {\"Informational\": \"5\", \"total_measure\": 20552.99497934}, {\"Informational\": \"7\", \"total_measure\": 8916.0244206}, {\"Informational\": \"9\", \"total_measure\": 8129.6354814}, {\"Informational\": \"8\", \"total_measure\": 4301.2673592}, {\"Informational\": \"13\", \"total_measure\": 2657.318056}, {\"Informational\": \"24\", \"total_measure\": 2629.253968}, {\"Informational\": \"12\", \"total_measure\": 2202.0250003}, {\"Informational\": \"10\", \"total_measure\": 1118.11885153}, {\"Informational\": \"14\", \"total_measure\": 433.1570175}, {\"Informational\": \"11\", \"total_measure\": 31.1}, {\"Informational\": \"16\", \"total_measure\": 0.0}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d0f9d278f5a6bda4c8106ea17280cffef306589c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:28:48.622377+00:00", + "ended_at": "2026-05-19T15:29:00.363867+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_b404341b5bb2393a", + "problem_id": "v2p_m6_141f8586bff97576", + "dataset_id": "m6", + "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=Informational, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "Administrative_Duration", + "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": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_b404341b5bb2393a.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b404341b5bb2393a", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 0, + "output_tokens": 526, + "total_tokens": 15465, + "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": 11732.14, + "sql_execution_elapsed_ms_total": 5.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..631d0d75a0e72ea183d5fe20c506a872e1982839 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:00.356539+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": 11732.14, "started_at": "2026-05-19T15:28:48.623570+00:00", "ended_at": "2026-05-19T15:29:00.355738+00:00", "prompt_metrics": {"chars": 10440, "bytes_utf8": 10440, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14939, "cached_input_tokens": 0, "output_tokens": 526, "reasoning_output_tokens": 427}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Informational\\\", SUM(CAST(NULLIF(\\\"Administrative_Duration\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"Informational\\\" as the grouping column and cast \\\"Administrative_Duration\\\" from TEXT to REAL before summing for SQLite compatibility.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..74d163f8a6de5f7be7aee37ce37a1c98242d732d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b404341b5bb2393a", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 0, + "output_tokens": 526, + "total_tokens": 15465, + "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": 11732.14, + "sql_execution_elapsed_ms_total": 5.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7261ffd6d29927ece5be71217735df2cab3576d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/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=Revenue, measure_col=BounceRates. +Result preview: [{"Revenue": "FALSE", "group_value": 263.85619396600003}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ff442c3e27947e3c9a53f12b24282e4d655b2593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_b405e0b91e0afbb4 +-- problem_id: v2p_m6_add464e978f4e238 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Revenue", SUM(CAST("BounceRates" AS REAL)) AS group_value + FROM "m6" + WHERE "Revenue" IS NOT NULL + AND TRIM("Revenue") <> '' + AND "BounceRates" IS NOT NULL + AND TRIM("BounceRates") <> '' + GROUP BY "Revenue" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Revenue", 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_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b18ecc02cdb62429072740ad1214a375dc36d2f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/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 \"Revenue\", SUM(CAST(\"BounceRates\" AS REAL)) AS group_value\n FROM \"m6\"\n WHERE \"Revenue\" IS NOT NULL\n AND TRIM(\"Revenue\") <> ''\n AND \"BounceRates\" IS NOT NULL\n AND TRIM(\"BounceRates\") <> ''\n GROUP BY \"Revenue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Revenue\", 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 \\\"Revenue\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Revenue\\\" IS NOT NULL\\n AND TRIM(\\\"Revenue\\\") <> ''\\n AND \\\"BounceRates\\\" IS NOT NULL\\n AND TRIM(\\\"BounceRates\\\") <> ''\\n GROUP BY \\\"Revenue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Revenue\\\", 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\": [\"Revenue\", \"group_value\"], \"rows\": [{\"Revenue\": \"FALSE\", \"group_value\": 263.85619396600003}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..848c92093be58e6f9703f3b572f75915868ff651 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:46:39.224603+00:00", + "ended_at": "2026-05-19T15:46:52.044740+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_b405e0b91e0afbb4", + "problem_id": "v2p_m6_add464e978f4e238", + "dataset_id": "m6", + "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=Revenue, measure_col=BounceRates.", + "bindings": { + "group_col": "Revenue", + "measure_col": "BounceRates", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_b405e0b91e0afbb4.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b405e0b91e0afbb4", + "api_calls": 0, + "input_tokens": 15074, + "cached_input_tokens": 13696, + "output_tokens": 685, + "total_tokens": 15759, + "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": 12804.86, + "sql_execution_elapsed_ms_total": 9.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f1f5984b98c8fa80cb10a5f8d0196ea1fe03dd8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:52.033353+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": 12804.86, "started_at": "2026-05-19T15:46:39.227417+00:00", "ended_at": "2026-05-19T15:46:52.032324+00:00", "prompt_metrics": {"chars": 10963, "bytes_utf8": 10963, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 853, "bytes_utf8": 853, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15074, "cached_input_tokens": 13696, "output_tokens": 685, "reasoning_output_tokens": 466}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Revenue\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Revenue\\\" IS NOT NULL\\n AND TRIM(\\\"Revenue\\\") <> ''\\n AND \\\"BounceRates\\\" IS NOT NULL\\n AND TRIM(\\\"BounceRates\\\") <> ''\\n GROUP BY \\\"Revenue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Revenue\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Revenue\\\" and measure_col=\\\"BounceRates\\\". CAST to REAL is applied because the schema stores numeric-looking values as TEXT, and null/empty rows are filtered for a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e6b76ff6cac9a96342b08acd9d3e7f75f4f9615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b405e0b91e0afbb4", + "api_calls": 0, + "input_tokens": 15074, + "cached_input_tokens": 13696, + "output_tokens": 685, + "total_tokens": 15759, + "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": 12804.86, + "sql_execution_elapsed_ms_total": 9.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f540e177370e8bca475f055948a0ac90816a3442 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/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=Informational, measure_col=ProductRelated_Duration. +Result preview: [{"Informational": "24", "percentile_measure": 43171.23338}, {"Informational": "13", "percentile_measure": 29970.46597}, {"Informational": "7", "percentile_measure": 15573.361295}, {"Informational": "8", "percentile_measure": 14056.603141}, {"Informational": "10", "percentile_measure": 12307.278992099995}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3aa5714dcad4ea71e952ed386d3b1df8b4b2447 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/generated_sql.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_b55a6109e4b6632b +-- problem_id: v2p_m6_78a0ec6e2036c76d +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "Informational", + CAST("ProductRelated_Duration" AS REAL) AS "measure" + FROM "m6" + WHERE "Informational" IS NOT NULL + AND "ProductRelated_Duration" IS NOT NULL + AND TRIM("ProductRelated_Duration") <> '' +), +"ranked" AS ( + SELECT + "Informational", + "measure", + ROW_NUMBER() OVER ( + PARTITION BY "Informational" + ORDER BY "measure" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Informational" + ) AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT + "Informational", + "measure", + "rn", + "cnt", + 1.0 + ("cnt" - 1) * 0.95 AS "pos" + FROM "ranked" +), +"percentile_bounds" AS ( + SELECT + "Informational", + MAX(CASE + WHEN "rn" = CAST("pos" AS INTEGER) THEN "measure" + END) AS "lower_value", + MAX(CASE + WHEN "rn" = CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END THEN "measure" + END) AS "upper_value", + MAX("pos") AS "pos" + FROM "positions" + GROUP BY "Informational" +) +SELECT + "Informational", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN "lower_value" + ELSE "lower_value" + ("pos" - CAST("pos" AS INTEGER)) * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "percentile_bounds" +ORDER BY "percentile_measure" DESC, CAST("Informational" AS REAL) ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed3f761683f21ad5f4f286c74e734818d6185860 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/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 \"base\" AS (\n SELECT\n \"Informational\",\n CAST(\"ProductRelated_Duration\" AS REAL) AS \"measure\"\n FROM \"m6\"\n WHERE \"Informational\" IS NOT NULL\n AND \"ProductRelated_Duration\" IS NOT NULL\n AND TRIM(\"ProductRelated_Duration\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"Informational\",\n \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Informational\"\n ORDER BY \"measure\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Informational\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT\n \"Informational\",\n \"measure\",\n \"rn\",\n \"cnt\",\n 1.0 + (\"cnt\" - 1) * 0.95 AS \"pos\"\n FROM \"ranked\"\n),\n\"percentile_bounds\" AS (\n SELECT\n \"Informational\",\n MAX(CASE\n WHEN \"rn\" = CAST(\"pos\" AS INTEGER) THEN \"measure\"\n END) AS \"lower_value\",\n MAX(CASE\n WHEN \"rn\" = CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END THEN \"measure\"\n END) AS \"upper_value\",\n MAX(\"pos\") AS \"pos\"\n FROM \"positions\"\n GROUP BY \"Informational\"\n)\nSELECT\n \"Informational\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"percentile_bounds\"\nORDER BY \"percentile_measure\" DESC, CAST(\"Informational\" AS REAL) ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n CAST(\\\"ProductRelated_Duration\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Informational\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"ProductRelated_Duration\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Informational\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Informational\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1.0 + (\\\"cnt\\\" - 1) * 0.95 AS \\\"pos\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"measure\\\"\\n END) AS \\\"lower_value\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END THEN \\\"measure\\\"\\n END) AS \\\"upper_value\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"Informational\\\"\\n)\\nSELECT\\n \\\"Informational\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, CAST(\\\"Informational\\\" AS REAL) ASC;\", \"columns\": [\"Informational\", \"percentile_measure\"], \"rows\": [{\"Informational\": \"24\", \"percentile_measure\": 43171.23338}, {\"Informational\": \"13\", \"percentile_measure\": 29970.46597}, {\"Informational\": \"7\", \"percentile_measure\": 15573.361295}, {\"Informational\": \"8\", \"percentile_measure\": 14056.603141}, {\"Informational\": \"10\", \"percentile_measure\": 12307.278992099995}, {\"Informational\": \"6\", \"percentile_measure\": 11431.027671999993}, {\"Informational\": \"9\", \"percentile_measure\": 10685.920925999999}, {\"Informational\": \"5\", \"percentile_measure\": 9185.1388612}, {\"Informational\": \"4\", \"percentile_measure\": 8998.973587899989}, {\"Informational\": \"3\", \"percentile_measure\": 8297.683369700002}, {\"Informational\": \"11\", \"percentile_measure\": 7675.14929}, {\"Informational\": \"12\", \"percentile_measure\": 6863.763333999999}, {\"Informational\": \"2\", \"percentile_measure\": 6762.828000049999}, {\"Informational\": \"1\", \"percentile_measure\": 6137.14491}, {\"Informational\": \"14\", \"percentile_measure\": 3641.66013885}, {\"Informational\": \"0\", \"percentile_measure\": 3109.599962400001}, {\"Informational\": \"16\", \"percentile_measure\": 279.8571429}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 55.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..882b50f49c3c95be3fb7d341c045983b7aba187c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:55:41.547305+00:00", + "ended_at": "2026-05-19T15:56:21.640574+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_b55a6109e4b6632b", + "problem_id": "v2p_m6_78a0ec6e2036c76d", + "dataset_id": "m6", + "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=Informational, measure_col=ProductRelated_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "ProductRelated_Duration", + "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": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_b55a6109e4b6632b.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b55a6109e4b6632b", + "api_calls": 0, + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 2326, + "total_tokens": 17307, + "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": 40032.44, + "sql_execution_elapsed_ms_total": 55.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbb086450481966e3458cbfa9a542e28f54778f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:21.582887+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": 40032.44, "started_at": "2026-05-19T15:55:41.549255+00:00", "ended_at": "2026-05-19T15:56:21.581723+00:00", "prompt_metrics": {"chars": 10626, "bytes_utf8": 10626, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 1780, "bytes_utf8": 1780, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14981, "cached_input_tokens": 13696, "output_tokens": 2326, "reasoning_output_tokens": 1802}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n CAST(\\\"ProductRelated_Duration\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Informational\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"ProductRelated_Duration\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Informational\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Informational\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1.0 + (\\\"cnt\\\" - 1) * 0.95 AS \\\"pos\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"measure\\\"\\n END) AS \\\"lower_value\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = CASE\\n WHEN \\\"pos\\\" = C"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a9289b1a397cbf5b52f53297a3718df5f76300d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b55a6109e4b6632b", + "api_calls": 0, + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 2326, + "total_tokens": 17307, + "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": 40032.44, + "sql_execution_elapsed_ms_total": 55.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3fba1e2bba69861e47d0c8a7f2dac0961f98d91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/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=Informational, condition_col=SpecialDay. +Result preview: [{"Informational": "24", "condition_rate": 1.0}, {"Informational": "16", "condition_rate": 1.0}, {"Informational": "14", "condition_rate": 1.0}, {"Informational": "13", "condition_rate": 1.0}, {"Informational": "10", "condition_rate": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..95cb3a5f537008058302e08e37a901a1ad965a71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_c0ae509ae6b68523 +-- problem_id: v2p_m6_3c67af7d454df7e5 +-- realization_mode: agent +-- source_kind: agent +SELECT "Informational", + AVG(CASE WHEN "SpecialDay" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m6" +GROUP BY "Informational" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56c6374d7bd395edb3baa8f17f81a96cc66fc120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/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 \"Informational\",\n AVG(CASE WHEN \"SpecialDay\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"Informational\\\",\\n AVG(CASE WHEN \\\"SpecialDay\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Informational\", \"condition_rate\"], \"rows\": [{\"Informational\": \"24\", \"condition_rate\": 1.0}, {\"Informational\": \"16\", \"condition_rate\": 1.0}, {\"Informational\": \"14\", \"condition_rate\": 1.0}, {\"Informational\": \"13\", \"condition_rate\": 1.0}, {\"Informational\": \"10\", \"condition_rate\": 1.0}, {\"Informational\": \"3\", \"condition_rate\": 0.9552631578947368}, {\"Informational\": \"4\", \"condition_rate\": 0.9504504504504504}, {\"Informational\": \"5\", \"condition_rate\": 0.9494949494949495}, {\"Informational\": \"6\", \"condition_rate\": 0.9487179487179487}, {\"Informational\": \"7\", \"condition_rate\": 0.9444444444444444}, {\"Informational\": \"9\", \"condition_rate\": 0.9333333333333333}, {\"Informational\": \"2\", \"condition_rate\": 0.9313186813186813}, {\"Informational\": \"8\", \"condition_rate\": 0.9285714285714286}, {\"Informational\": \"1\", \"condition_rate\": 0.9077809798270894}, {\"Informational\": \"0\", \"condition_rate\": 0.8905041756882153}, {\"Informational\": \"12\", \"condition_rate\": 0.8}, {\"Informational\": \"11\", \"condition_rate\": 0.0}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6e7eabf0b966e9f7df70646036b742490d0eeeb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:00:33.659720+00:00", + "ended_at": "2026-05-19T16:00:47.296566+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_c0ae509ae6b68523", + "problem_id": "v2p_m6_3c67af7d454df7e5", + "dataset_id": "m6", + "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=Informational, condition_col=SpecialDay.", + "bindings": { + "group_col": "Informational", + "condition_col": "SpecialDay", + "condition_value": "0", + "positive_value": "0", + "negative_value": "0.6", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_b/m6/sql/v2q_m6_c0ae509ae6b68523.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c0ae509ae6b68523", + "api_calls": 0, + "input_tokens": 15001, + "cached_input_tokens": 12032, + "output_tokens": 640, + "total_tokens": 15641, + "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": 13625.34, + "sql_execution_elapsed_ms_total": 4.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..34f9092a2dcb96ae8ce46a7749eefe158844a32f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:47.290452+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": 13625.34, "started_at": "2026-05-19T16:00:33.664102+00:00", "ended_at": "2026-05-19T16:00:47.289490+00:00", "prompt_metrics": {"chars": 10663, "bytes_utf8": 10663, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 488, "bytes_utf8": 488, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15001, "cached_input_tokens": 12032, "output_tokens": 640, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"Informational\\\",\\n AVG(CASE WHEN \\\"SpecialDay\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with \\\"Informational\\\" as the grouping column and \\\"SpecialDay\\\" = '0' as the condition. The comparison uses a text literal because the schema snapshot shows these fields are stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1e71ea7fa2f8761a589f6c8c1a18cd0f4bd80b94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c0ae509ae6b68523", + "api_calls": 0, + "input_tokens": 15001, + "cached_input_tokens": 12032, + "output_tokens": 640, + "total_tokens": 15641, + "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": 13625.34, + "sql_execution_elapsed_ms_total": 4.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0ae509ae6b68523/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f4775bb4cd2d2e699cee176f78a9f7c04d0999d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10970, "bytes_utf8": 10970, "lines": 312, "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": 666, "bytes_utf8": 666, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 13696, "output_tokens": 455, "reasoning_output_tokens": 287}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8acd54a61de47ce00e248f93d350e6fd22e8118c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c6e444d40b4ba456", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 455, + "total_tokens": 15528, + "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": 9537.98, + "sql_execution_elapsed_ms_total": 4.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b914e2ec74d1967d74e12d78e989fd61bf06457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/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": "2026-05-19T15:45:36.530886+00:00", + "ended_at": "2026-05-19T15:45:46.068900+00:00", + "elapsed_ms": 9537.98, + "prompt_metrics": { + "chars": 10970, + "bytes_utf8": 10970, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1033, + "bytes_utf8": 1033, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 666, + "bytes_utf8": 666, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 455, + "reasoning_output_tokens": 287 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ae26f2245abf3bc159dc0dc474e24b5ddb7c070 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=VisitorType, measure_col=ProductRelated.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "VisitorType", + "measure_col": "ProductRelated", + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5c32d96d1b52d374de472c5309ed34311ed7c69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-fc15-72d2-9e65-a0038db4ecb0"} +{"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 \\\"VisitorType\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"VisitorType\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"VisitorType\\\", 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 required Relative-to-Total Extreme Threshold template with group_col=\\\"VisitorType\\\" and measure_col=\\\"ProductRelated\\\". CAST to REAL is included because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":13696,"output_tokens":455,"reasoning_output_tokens":287}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54d0f0b472fa093a874e15df5a7c9a5b8064e70c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"VisitorType\", SUM(CAST(\"ProductRelated\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"VisitorType\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"VisitorType\", 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 required Relative-to-Total Extreme Threshold template with group_col=\"VisitorType\" and measure_col=\"ProductRelated\". CAST to REAL is included because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c6e444d40b4ba456/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..17f3114b61cc5b38d18235b96e608650781de7b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/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=Region, group_col_2=Revenue. +Result preview: [{"Region": "1", "Revenue": "FALSE", "row_count": 3119}, {"Region": "3", "Revenue": "FALSE", "row_count": 1606}, {"Region": "2", "Revenue": "FALSE", "row_count": 787}, {"Region": "4", "Revenue": "FALSE", "row_count": 782}, {"Region": "1", "Revenue": "TRUE", "row_count": 616}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e40550307831829b2ffdc17f31676fe8f2f8f034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_cc939ce8343ca401 +-- problem_id: v2p_m6_ebf2660145495d08 +-- realization_mode: agent +-- source_kind: agent +SELECT "Region", "Revenue", COUNT(*) AS row_count +FROM "m6" +WHERE CAST("Browser" AS REAL) >= 2.0 +GROUP BY "Region", "Revenue" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7409c1c821912dd2ebc21c9260c926eff9c2ad49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/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 \"Region\", \"Revenue\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Browser\" AS REAL) >= 2.0\nGROUP BY \"Region\", \"Revenue\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Region\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Browser\\\" AS REAL) >= 2.0\\nGROUP BY \\\"Region\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Region\", \"Revenue\", \"row_count\"], \"rows\": [{\"Region\": \"1\", \"Revenue\": \"FALSE\", \"row_count\": 3119}, {\"Region\": \"3\", \"Revenue\": \"FALSE\", \"row_count\": 1606}, {\"Region\": \"2\", \"Revenue\": \"FALSE\", \"row_count\": 787}, {\"Region\": \"4\", \"Revenue\": \"FALSE\", \"row_count\": 782}, {\"Region\": \"1\", \"Revenue\": \"TRUE\", \"row_count\": 616}, {\"Region\": \"6\", \"Revenue\": \"FALSE\", \"row_count\": 569}, {\"Region\": \"7\", \"Revenue\": \"FALSE\", \"row_count\": 565}, {\"Region\": \"9\", \"Revenue\": \"FALSE\", \"row_count\": 369}, {\"Region\": \"8\", \"Revenue\": \"FALSE\", \"row_count\": 291}, {\"Region\": \"3\", \"Revenue\": \"TRUE\", \"row_count\": 281}, {\"Region\": \"5\", \"Revenue\": \"FALSE\", \"row_count\": 237}, {\"Region\": \"2\", \"Revenue\": \"TRUE\", \"row_count\": 147}, {\"Region\": \"4\", \"Revenue\": \"TRUE\", \"row_count\": 139}, {\"Region\": \"7\", \"Revenue\": \"TRUE\", \"row_count\": 106}, {\"Region\": \"6\", \"Revenue\": \"TRUE\", \"row_count\": 86}, {\"Region\": \"9\", \"Revenue\": \"TRUE\", \"row_count\": 77}, {\"Region\": \"8\", \"Revenue\": \"TRUE\", \"row_count\": 46}, {\"Region\": \"5\", \"Revenue\": \"TRUE\", \"row_count\": 45}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4576f8dd257a15dad4f905edfa37a4a73dd05fb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:40:45.200473+00:00", + "ended_at": "2026-05-19T15:40:55.469454+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_cc939ce8343ca401", + "problem_id": "v2p_m6_ebf2660145495d08", + "dataset_id": "m6", + "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=Region, group_col_2=Revenue.", + "bindings": { + "group_col": "Region", + "group_col_2": "Revenue", + "predicate_col": "Browser", + "predicate_op": ">=", + "predicate_value": 2.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1", + "sql_variant_index=1/1", + "binding_index=48" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_b/m6/sql/v2q_m6_cc939ce8343ca401.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_cc939ce8343ca401", + "api_calls": 0, + "input_tokens": 15028, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15409, + "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": 10254.39, + "sql_execution_elapsed_ms_total": 9.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..816b9393035fe097a7c4517a2417cda00a5e12f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:55.457826+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": 10254.39, "started_at": "2026-05-19T15:40:45.202374+00:00", "ended_at": "2026-05-19T15:40:55.456798+00:00", "prompt_metrics": {"chars": 10705, "bytes_utf8": 10705, "lines": 316, "estimated_tokens": null}, "response_metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15028, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 278}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Region\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Browser\\\" AS REAL) >= 2.0\\nGROUP BY \\\"Region\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with Region and Revenue, and cast Browser to REAL because the SQLite schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..97c9a76b7dbec3e61820080e55892fa52413d3ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_cc939ce8343ca401", + "api_calls": 0, + "input_tokens": 15028, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15409, + "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": 10254.39, + "sql_execution_elapsed_ms_total": 9.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4e2040047f75fd49bae7b5e7b1c6d8a88f3318e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/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=VisitorType, measure_col=PageValues. +Result preview: [{"VisitorType": "Returning_Visitor", "total_measure": 52820.159812187}, {"VisitorType": "New_Visitor", "total_measure": 18248.085595794}, {"VisitorType": "Other", "total_measure": 1546.304039031}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fbf0deb1c25c03b9b72678acf0c36c9743a8b08a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_cf50245fd20d4aa0 +-- problem_id: v2p_m6_e48725d053d4529b +-- realization_mode: agent +-- source_kind: agent +SELECT "VisitorType", SUM(CAST("PageValues" AS REAL)) AS total_measure +FROM "m6" +GROUP BY "VisitorType" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8af5f13a8b78137e25922156c5118608b12996d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/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 \"VisitorType\", SUM(CAST(\"PageValues\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"VisitorType\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"VisitorType\\\", SUM(CAST(\\\"PageValues\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"VisitorType\", \"total_measure\"], \"rows\": [{\"VisitorType\": \"Returning_Visitor\", \"total_measure\": 52820.159812187}, {\"VisitorType\": \"New_Visitor\", \"total_measure\": 18248.085595794}, {\"VisitorType\": \"Other\", \"total_measure\": 1546.304039031}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..29ce8deee3a3c675e0bb4e5008ff1c0fc46429d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:31:35.205458+00:00", + "ended_at": "2026-05-19T15:31:43.182400+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_cf50245fd20d4aa0", + "problem_id": "v2p_m6_e48725d053d4529b", + "dataset_id": "m6", + "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=VisitorType, measure_col=PageValues.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "PageValues", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=1/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_b/m6/sql/v2q_m6_cf50245fd20d4aa0.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_cf50245fd20d4aa0", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 276, + "total_tokens": 15213, + "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": 7963.77, + "sql_execution_elapsed_ms_total": 7.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b773f32aae2224ed19fd76a9b3c5c4a44956275 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:43.172637+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": 7963.77, "started_at": "2026-05-19T15:31:35.207845+00:00", "ended_at": "2026-05-19T15:31:43.171649+00:00", "prompt_metrics": {"chars": 10407, "bytes_utf8": 10407, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 276, "reasoning_output_tokens": 173}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"VisitorType\\\", SUM(CAST(\\\"PageValues\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"VisitorType\\\" and measure_col=\\\"PageValues\\\". CAST to REAL is used because the schema snapshot shows \\\"PageValues\\\" is stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..35564a45981a0979ecd2916c1bfae29581b7c07e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_cf50245fd20d4aa0", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 276, + "total_tokens": 15213, + "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": 7963.77, + "sql_execution_elapsed_ms_total": 7.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..476d5cdd873e502590b52c4d6228c5ebae162b17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10339, "bytes_utf8": 10339, "lines": 310, "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": 10339, "bytes_utf8": 10339, "lines": 310, "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": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14926, "cached_input_tokens": 13696, "output_tokens": 484, "reasoning_output_tokens": 387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..90072e23d2f2274c33ab2be41d0343744246ff76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d01ed33e021b14e5", + "api_calls": 0, + "input_tokens": 14926, + "cached_input_tokens": 13696, + "output_tokens": 484, + "total_tokens": 15410, + "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": 15515.73, + "sql_execution_elapsed_ms_total": 7.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f00b2d0751e72caae2800f8af1f15067b9078002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:06.062769+00:00", + "ended_at": "2026-05-19T16:03:09.236985+00:00", + "elapsed_ms": 3174.19, + "returncode": 1, + "prompt_metrics": { + "chars": 10339, + "bytes_utf8": 10339, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..99f55fd131e112eb7b9105e7744270a52d1de4ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:10.238596+00:00", + "ended_at": "2026-05-19T16:03:22.580184+00:00", + "elapsed_ms": 12341.54, + "prompt_metrics": { + "chars": 10339, + "bytes_utf8": 10339, + "lines": 310, + "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": 342, + "bytes_utf8": 342, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14926, + "cached_input_tokens": 13696, + "output_tokens": 484, + "reasoning_output_tokens": 387 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..049258ff41cd58c504de197e824c5d90d8c5c309 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=TrafficType.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "TrafficType", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..049258ff41cd58c504de197e824c5d90d8c5c309 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=TrafficType.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "TrafficType", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f7590b360c7101ca70af408e6cc484b538a1127 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-ffeb-7fb3-ab7c-66ac2dbe7d73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a97c69fc489d258ee7eff65555bc4e747bf20fe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-ffeb-7fb3-ab7c-66ac2dbe7d73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bdf45866bd784fa5dfc54ae678edf77ee1f79a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-104b-75a1-a905-c769da5fa1aa"} +{"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(\\\"TrafficType\\\" AS REAL) <= 4.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"m6\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template on \\\"TrafficType\\\" with threshold 4.0, casting the TEXT column to REAL for correct numeric comparison in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14926,"cached_input_tokens":13696,"output_tokens":484,"reasoning_output_tokens":387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..64b2aacb2bc56a3ab41baacab3277a7ee8b20723 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"TrafficType\" AS REAL) <= 4.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"m6\";","notes":"Used the planned Threshold Rarity CDF template on \"TrafficType\" with threshold 4.0, casting the TEXT column to REAL for correct numeric comparison in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d01ed33e021b14e5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9194aec90e64de1dc12fd47e9a2db2af8c876096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/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=Informational. +Result preview: [{"empirical_cdf_at_threshold": 0.78661800486618}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6b12d579977fc445b1b149c79cd4209e0d995eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_d126b6bb11f3307a +-- problem_id: v2p_m6_5b60a10acefd1229 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("Informational" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m6"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e514093ec415e0851443e44686dfea574838b255 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/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(\"Informational\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Informational\\\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.78661800486618}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8b70b97c20d672d42e52f3c4c4f0ca88d50f203b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:03:38.051591+00:00", + "ended_at": "2026-05-19T16:03:51.657701+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_d126b6bb11f3307a", + "problem_id": "v2p_m6_5b60a10acefd1229", + "dataset_id": "m6", + "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=Informational.", + "bindings": { + "measure_col": "Informational", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_d126b6bb11f3307a.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d126b6bb11f3307a", + "api_calls": 0, + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 345, + "total_tokens": 15271, + "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": 12596.86, + "sql_execution_elapsed_ms_total": 2.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c5bfe224641ee3ca452c5fc25af88529fa29245 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:41.289120+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": 3233.85, "started_at": "2026-05-19T16:03:38.054509+00:00", "ended_at": "2026-05-19T16:03:41.288398+00:00", "prompt_metrics": {"chars": 10344, "bytes_utf8": 10344, "lines": 310, "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-7cee-7fa1-adcb-a76ae664b83a\"}\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": "2026-05-19T16:03:51.654382+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": 9363.01, "started_at": "2026-05-19T16:03:42.290604+00:00", "ended_at": "2026-05-19T16:03:51.653663+00:00", "prompt_metrics": {"chars": 10344, "bytes_utf8": 10344, "lines": 310, "estimated_tokens": null}, "response_metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14926, "cached_input_tokens": 12032, "output_tokens": 345, "reasoning_output_tokens": 235}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Informational\\\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col=\\\"Informational\\\" and measure_threshold=0.0. CAST(\\\"Informational\\\" AS REAL) is applied because the schema stores this numeric field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93e8a00b6202f0a1e74be4a1e24a0fbcfce9ff81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d126b6bb11f3307a", + "api_calls": 0, + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 345, + "total_tokens": 15271, + "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": 12596.86, + "sql_execution_elapsed_ms_total": 2.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8b1f5b270abea89c3af81cea8b43c818a39576c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/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=Region, measure_col=Informational. +Result preview: [{"Region": "1", "group_value": 2607.0}, {"Region": "3", "group_value": 1228.0}, {"Region": "4", "group_value": 604.0}, {"Region": "2", "group_value": 506.0}, {"Region": "6", "group_value": 408.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f30fda324ab1b846e659bb08fc40e707b3958f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_d79bd97ae08a4fb5 +-- problem_id: v2p_m6_4780139cb77e79c5 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Region", SUM(CAST("Informational" AS REAL)) AS group_value + FROM "m6" + GROUP BY "Region" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Region", 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_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..704986fd7cb5e4cb805e0ab68be3c75322bd67cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/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 \"Region\", SUM(CAST(\"Informational\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Region\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Region\", 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 \\\"Region\\\", SUM(CAST(\\\"Informational\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Region\\\", 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\": [\"Region\", \"group_value\"], \"rows\": [{\"Region\": \"1\", \"group_value\": 2607.0}, {\"Region\": \"3\", \"group_value\": 1228.0}, {\"Region\": \"4\", \"group_value\": 604.0}, {\"Region\": \"2\", \"group_value\": 506.0}, {\"Region\": \"6\", \"group_value\": 408.0}, {\"Region\": \"7\", \"group_value\": 339.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eb87cc3d9dc76ebf1d76cf259bc2879cd56c3d4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:44:54.466924+00:00", + "ended_at": "2026-05-19T15:45:09.386915+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_d79bd97ae08a4fb5", + "problem_id": "v2p_m6_4780139cb77e79c5", + "dataset_id": "m6", + "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=Region, measure_col=Informational.", + "bindings": { + "group_col": "Region", + "measure_col": "Informational", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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_b/m6/sql/v2q_m6_d79bd97ae08a4fb5.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d79bd97ae08a4fb5", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 381, + "total_tokens": 15454, + "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": 14900.78, + "sql_execution_elapsed_ms_total": 13.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be95cbc61e96ce0fae67a411a73ec54e4e88a94a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:09.370781+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": 14900.78, "started_at": "2026-05-19T15:44:54.468354+00:00", "ended_at": "2026-05-19T15:45:09.369170+00:00", "prompt_metrics": {"chars": 10960, "bytes_utf8": 10960, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 13696, "output_tokens": 381, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Region\\\", SUM(CAST(\\\"Informational\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Region\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"Region\\\" and measure_col=\\\"Informational\\\". CAST to REAL is added because the schema stores numeric-looking values as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8021b1210a7a8a20854169a045e4731db9a98377 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d79bd97ae08a4fb5", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 381, + "total_tokens": 15454, + "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": 14900.78, + "sql_execution_elapsed_ms_total": 13.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2870dedf0f88d6257eb5b985c07f0b535473072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2", "support": 7961, "support_share": 0.6456609894566099, "support_rank": 1}, {"value_label": "1", "support": 2462, "support_share": 0.1996755879967559, "support_rank": 2}, {"value_label": "4", "support": 736, "support_share": 0.05969180859691808, "support_rank": 3}, {"value_label": "5", "support": 467, "support_share": 0.03787510137875101, "support_rank": 4}, {"value_label": "6", "support": 174, "support_share": 0.014111922141119221, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c5aa2526e985790b7f894c1b64700c7f144432dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_dd0eff8871612354 +-- problem_id: v2p_m6_c62f738cae200137 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Browser" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "Browser" +) +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_b/m6/artifacts/v2q_m6_dd0eff8871612354/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..425082a4b2958f299778a981a3de45524d75485f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/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_b\n-- sql_source_dataset_id: m6\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_m6_dd0eff8871612354\n-- problem_id: v2p_m6_c62f738cae200137\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Browser\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"Browser\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_dd0eff8871612354\\n-- problem_id: v2p_m6_c62f738cae200137\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Browser\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Browser\\\"\\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\": \"2\", \"support\": 7961, \"support_share\": 0.6456609894566099, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 2462, \"support_share\": 0.1996755879967559, \"support_rank\": 2}, {\"value_label\": \"4\", \"support\": 736, \"support_share\": 0.05969180859691808, \"support_rank\": 3}, {\"value_label\": \"5\", \"support\": 467, \"support_share\": 0.03787510137875101, \"support_rank\": 4}, {\"value_label\": \"6\", \"support\": 174, \"support_share\": 0.014111922141119221, \"support_rank\": 5}, {\"value_label\": \"10\", \"support\": 163, \"support_share\": 0.01321978913219789, \"support_rank\": 6}, {\"value_label\": \"8\", \"support\": 135, \"support_share\": 0.010948905109489052, \"support_rank\": 7}, {\"value_label\": \"3\", \"support\": 105, \"support_share\": 0.00851581508515815, \"support_rank\": 8}, {\"value_label\": \"13\", \"support\": 61, \"support_share\": 0.004947283049472831, \"support_rank\": 9}, {\"value_label\": \"7\", \"support\": 49, \"support_share\": 0.00397404703974047, \"support_rank\": 10}, {\"value_label\": \"12\", \"support\": 10, \"support_share\": 0.0008110300081103001, \"support_rank\": 11}, {\"value_label\": \"11\", \"support\": 6, \"support_share\": 0.00048661800486618007, \"support_rank\": 12}, {\"value_label\": \"9\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 13}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..07c06b8d3064640523b2cc228c596b5bef5d4088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.086535+00:00", + "ended_at": "2026-05-19T16:09:18.091255+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_dd0eff8871612354", + "problem_id": "v2p_m6_c62f738cae200137", + "dataset_id": "m6", + "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=Browser.", + "bindings": { + "group_col": "Browser" + }, + "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=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_b/m6/sql/v2q_m6_dd0eff8871612354.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_b/m6/artifacts/v2q_m6_dd0eff8871612354/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd0eff8871612354/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_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bf566202121f2e4313badb7e56a6cbde1b84af77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:08:01.821409+00:00", + "ended_at": "2026-05-19T16:08:09.659427+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_dd454c6d75c7e964", + "problem_id": "v2p_m6_033bd94a579db225", + "dataset_id": "m6", + "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=OperatingSystems, measure_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "OperatingSystems", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d5cdef69065442924a868959d97bf2aa07361d1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:05.541025+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": 3717.25, "started_at": "2026-05-19T16:08:01.823085+00:00", "ended_at": "2026-05-19T16:08:05.540362+00:00", "prompt_metrics": {"chars": 10515, "bytes_utf8": 10515, "lines": 312, "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-8315-78b3-b3e3-91027f59aba7\"}\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": "2026-05-19T16:08:09.659279+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": 3116.48, "started_at": "2026-05-19T16:08:06.541804+00:00", "ended_at": "2026-05-19T16:08:09.658316+00:00", "prompt_metrics": {"chars": 10515, "bytes_utf8": 10515, "lines": 312, "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-957f-7e50-9502-e8cfa226350f\"}\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_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a277c0add18363f02e614df1cd1a12a2b5e224a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/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=VisitorType, group_col_2=Weekend. +Result preview: [{"VisitorType": "Returning_Visitor", "Weekend": "FALSE", "row_count": 8169}, {"VisitorType": "New_Visitor", "Weekend": "FALSE", "row_count": 1215}, {"VisitorType": "Other", "Weekend": "FALSE", "row_count": 78}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..70cecf07bc4089c837c756d0a4e5ae6dcac7142e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_dd71a2b5a54c020b +-- problem_id: v2p_m6_bd201f7e0da7ac49 +-- realization_mode: agent +-- source_kind: agent +SELECT "VisitorType", "Weekend", COUNT(*) AS row_count +FROM "m6" +WHERE "Weekend" = 'FALSE' +GROUP BY "VisitorType", "Weekend" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6a524714a03f5e564569e2293d1b487fcff1bfad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/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 \"VisitorType\", \"Weekend\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE \"Weekend\" = 'FALSE'\nGROUP BY \"VisitorType\", \"Weekend\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d.\\nSELECT \\\"VisitorType\\\", \\\"Weekend\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE \\\"Weekend\\\" = 'FALSE'\\nGROUP BY \\\"VisitorType\\\", \\\"Weekend\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"VisitorType\", \"Weekend\", \"row_count\"], \"rows\": [{\"VisitorType\": \"Returning_Visitor\", \"Weekend\": \"FALSE\", \"row_count\": 8169}, {\"VisitorType\": \"New_Visitor\", \"Weekend\": \"FALSE\", \"row_count\": 1215}, {\"VisitorType\": \"Other\", \"Weekend\": \"FALSE\", \"row_count\": 78}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..528b9d5f9f91ceaae8da516d419d71c21c47ee2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:41:33.662278+00:00", + "ended_at": "2026-05-19T15:41:50.699431+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_dd71a2b5a54c020b", + "problem_id": "v2p_m6_bd201f7e0da7ac49", + "dataset_id": "m6", + "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=VisitorType, group_col_2=Weekend.", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Weekend", + "predicate_col": "Weekend", + "predicate_op": "=", + "predicate_value": "FALSE", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_b/m6/sql/v2q_m6_dd71a2b5a54c020b.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dd71a2b5a54c020b", + "api_calls": 0, + "input_tokens": 15026, + "cached_input_tokens": 13696, + "output_tokens": 453, + "total_tokens": 15479, + "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": 17027.73, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77daa1540c640fc2656635aef52eb50b0e680694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:50.693119+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": 17027.73, "started_at": "2026-05-19T15:41:33.664551+00:00", "ended_at": "2026-05-19T15:41:50.692318+00:00", "prompt_metrics": {"chars": 10713, "bytes_utf8": 10713, "lines": 316, "estimated_tokens": null}, "response_metrics": {"chars": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15026, "cached_input_tokens": 13696, "output_tokens": 453, "reasoning_output_tokens": 333}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d.\\nSELECT \\\"VisitorType\\\", \\\"Weekend\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE \\\"Weekend\\\" = 'FALSE'\\nGROUP BY \\\"VisitorType\\\", \\\"Weekend\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the bound template roles exactly: group by \\\"VisitorType\\\" and \\\"Weekend\\\", with a filter on \\\"Weekend\\\" = 'FALSE'. The predicate value is quoted as a string because the schema snapshot shows TEXT storage for this column.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5f1b66f8990a67dae05abebb9333d5b509be6a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dd71a2b5a54c020b", + "api_calls": 0, + "input_tokens": 15026, + "cached_input_tokens": 13696, + "output_tokens": 453, + "total_tokens": 15479, + "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": 17027.73, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd332fb27c1255808bcf5769c7bbf40ef63090bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/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=SpecialDay. +Result preview: [{"SpecialDay": "1"}, {"SpecialDay": "1"}, {"SpecialDay": "1"}, {"SpecialDay": "1"}, {"SpecialDay": "1"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d955a4534e098a5512d6a1a38ad4390900a67254 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_dee19e265f64d925 +-- problem_id: v2p_m6_7465a10b729c1dbf +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "SpecialDay", + NTILE(10) OVER (ORDER BY CAST("SpecialDay" AS REAL) DESC) AS tail_bucket + FROM "m6" +) +SELECT "SpecialDay" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("SpecialDay" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..919a5d3a8c39f19d216eccc6c1895a3d90957c17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/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 \"SpecialDay\",\n NTILE(10) OVER (ORDER BY CAST(\"SpecialDay\" AS REAL) DESC) AS tail_bucket\n FROM \"m6\"\n)\nSELECT \"SpecialDay\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"SpecialDay\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"SpecialDay\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"SpecialDay\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"SpecialDay\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"SpecialDay\\\" AS REAL) DESC;\", \"columns\": [\"SpecialDay\"], \"rows\": [{\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}, {\"SpecialDay\": \"1\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..134c9e1aa769ba76d27956b585bac200aa9ba37a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:43:44.982933+00:00", + "ended_at": "2026-05-19T15:43:59.869483+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_dee19e265f64d925", + "problem_id": "v2p_m6_7465a10b729c1dbf", + "dataset_id": "m6", + "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=SpecialDay.", + "bindings": { + "measure_col": "SpecialDay", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_b/m6/sql/v2q_m6_dee19e265f64d925.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dee19e265f64d925", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 12032, + "output_tokens": 372, + "total_tokens": 15362, + "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": 14864.16, + "sql_execution_elapsed_ms_total": 16.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..067379bee397a9733436b50bc37d8d0198bc322c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:59.850862+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": 14864.16, "started_at": "2026-05-19T15:43:44.985074+00:00", "ended_at": "2026-05-19T15:43:59.849269+00:00", "prompt_metrics": {"chars": 10571, "bytes_utf8": 10571, "lines": 310, "estimated_tokens": null}, "response_metrics": {"chars": 495, "bytes_utf8": 495, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14990, "cached_input_tokens": 12032, "output_tokens": 372, "reasoning_output_tokens": 236}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"SpecialDay\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"SpecialDay\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"SpecialDay\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"SpecialDay\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"SpecialDay\\\" on table \\\"m6\\\". CAST to REAL is used because the schema stores this numeric field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..86eb92598ed544197af5aa595fa04dc38f65813a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dee19e265f64d925", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 12032, + "output_tokens": 372, + "total_tokens": 15362, + "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": 14864.16, + "sql_execution_elapsed_ms_total": 16.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dee19e265f64d925/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..96594c64b7bc6312c06ff3cd45c79b82b8aaf061 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/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=Month, measure_col=OperatingSystems. +Result preview: [{"Month": "May", "group_value": 7132.0}, {"Month": "Nov", "group_value": 6344.0}, {"Month": "Mar", "group_value": 3964.0}, {"Month": "Dec", "group_value": 3892.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..80bbe3b4219ce07064e31796f352eb2c60ace866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_dfc83bfb07107edd +-- problem_id: v2p_m6_6b6cf0946dc372b8 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Month", SUM(CAST("OperatingSystems" AS REAL)) AS group_value + FROM "m6" + WHERE "Month" IS NOT NULL + AND TRIM("Month") <> '' + AND "OperatingSystems" IS NOT NULL + AND TRIM("OperatingSystems") <> '' + GROUP BY "Month" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Month", 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_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ffbc84fa0a959c20f77898fd35f65391bba14ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/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 \"Month\", SUM(CAST(\"OperatingSystems\" AS REAL)) AS group_value\n FROM \"m6\"\n WHERE \"Month\" IS NOT NULL\n AND TRIM(\"Month\") <> ''\n AND \"OperatingSystems\" IS NOT NULL\n AND TRIM(\"OperatingSystems\") <> ''\n GROUP BY \"Month\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Month\", 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 \\\"Month\\\", SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Month\\\" IS NOT NULL\\n AND TRIM(\\\"Month\\\") <> ''\\n AND \\\"OperatingSystems\\\" IS NOT NULL\\n AND TRIM(\\\"OperatingSystems\\\") <> ''\\n GROUP BY \\\"Month\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Month\\\", 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\": [\"Month\", \"group_value\"], \"rows\": [{\"Month\": \"May\", \"group_value\": 7132.0}, {\"Month\": \"Nov\", \"group_value\": 6344.0}, {\"Month\": \"Mar\", \"group_value\": 3964.0}, {\"Month\": \"Dec\", \"group_value\": 3892.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.65}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c33883227106eefbcb80079ad03e560e2d23377e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:48:33.624840+00:00", + "ended_at": "2026-05-19T15:48:51.845871+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_dfc83bfb07107edd", + "problem_id": "v2p_m6_6b6cf0946dc372b8", + "dataset_id": "m6", + "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=Month, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Month", + "measure_col": "OperatingSystems", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_b/m6/sql/v2q_m6_dfc83bfb07107edd.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dfc83bfb07107edd", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 607, + "total_tokens": 15680, + "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": 18205.9, + "sql_execution_elapsed_ms_total": 10.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa2a483e64ae47136c97ba4156c515e987d6defe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:51.833148+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": 18205.9, "started_at": "2026-05-19T15:48:33.626168+00:00", "ended_at": "2026-05-19T15:48:51.832098+00:00", "prompt_metrics": {"chars": 10964, "bytes_utf8": 10964, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 809, "bytes_utf8": 809, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 12032, "output_tokens": 607, "reasoning_output_tokens": 399}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Month\\\", SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Month\\\" IS NOT NULL\\n AND TRIM(\\\"Month\\\") <> ''\\n AND \\\"OperatingSystems\\\" IS NOT NULL\\n AND TRIM(\\\"OperatingSystems\\\") <> ''\\n GROUP BY \\\"Month\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Month\\\", 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 planned template with group_col=\\\"Month\\\" and measure_col=\\\"OperatingSystems\\\". CAST is applied because the schema stores numeric-looking fields as TEXT, and empty/null values are filtered out for stability.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff6d1ea6a08d448f14b29ef2ee8ebcb466d39b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dfc83bfb07107edd", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 607, + "total_tokens": 15680, + "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": 18205.9, + "sql_execution_elapsed_ms_total": 10.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bb26dc877a94de38f499f09c75c01a923bd6f12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/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=Month, measure_col=OperatingSystems. +Result preview: [{"Month": "May", "group_value": 7132.0}, {"Month": "Nov", "group_value": 6344.0}, {"Month": "Mar", "group_value": 3964.0}, {"Month": "Dec", "group_value": 3892.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c3ea2b95a669cca1a4d5253051a1b060ecce882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_e03ffbf9523c1a10 +-- problem_id: v2p_m6_865d785649353ffb +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Month", SUM(CAST("OperatingSystems" AS REAL)) AS group_value + FROM "m6" + GROUP BY "Month" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Month", 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_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe3b0d8957d5b0c0a6adc06168f0ab6c2757b8b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/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 \"Month\", SUM(CAST(\"OperatingSystems\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Month\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Month\", 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 \\\"Month\\\", SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Month\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Month\\\", 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\": [\"Month\", \"group_value\"], \"rows\": [{\"Month\": \"May\", \"group_value\": 7132.0}, {\"Month\": \"Nov\", \"group_value\": 6344.0}, {\"Month\": \"Mar\", \"group_value\": 3964.0}, {\"Month\": \"Dec\", \"group_value\": 3892.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e26e810879fd7078e5f520a2a138c1cdf99c6316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:48:19.132598+00:00", + "ended_at": "2026-05-19T15:48:33.624333+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_e03ffbf9523c1a10", + "problem_id": "v2p_m6_865d785649353ffb", + "dataset_id": "m6", + "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=Month, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Month", + "measure_col": "OperatingSystems", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_b/m6/sql/v2q_m6_e03ffbf9523c1a10.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e03ffbf9523c1a10", + "api_calls": 0, + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 427, + "total_tokens": 15498, + "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": 14482.95, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56c4c965299e9742422f9de3eb2993ed999a8acd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:33.618207+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": 14482.95, "started_at": "2026-05-19T15:48:19.134520+00:00", "ended_at": "2026-05-19T15:48:33.617490+00:00", "prompt_metrics": {"chars": 10961, "bytes_utf8": 10961, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15071, "cached_input_tokens": 13696, "output_tokens": 427, "reasoning_output_tokens": 267}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Month\\\", SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Month\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Month\\\", 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 required template with group_col=\\\"Month\\\" and measure_col=\\\"OperatingSystems\\\". Applied CAST(... AS REAL) because the schema snapshot stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..708cbb3c24d1d8b29a045659bcb45e21c69d009d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e03ffbf9523c1a10", + "api_calls": 0, + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 427, + "total_tokens": 15498, + "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": 14482.95, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a43c13bb0cbe36caec3fe748cb30862323e664ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:25.006915+00:00", + "ended_at": "2026-05-19T16:05:28.171248+00:00", + "elapsed_ms": 3164.3, + "returncode": 1, + "prompt_metrics": { + "chars": 10390, + "bytes_utf8": 10390, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb0d855f72ea4d706c52bbdaa2c7ea397d0b4230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:29.173766+00:00", + "ended_at": "2026-05-19T16:05:32.176247+00:00", + "elapsed_ms": 3002.44, + "returncode": 1, + "prompt_metrics": { + "chars": 10390, + "bytes_utf8": 10390, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..80a90547c9cf15851f762afd14d8963e293facf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=SpecialDay.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "SpecialDay", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..80a90547c9cf15851f762afd14d8963e293facf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=SpecialDay.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "SpecialDay", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..08cadda68d1ee31aea8c9a99da2f957f3af4d1d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-1e8b-7681-87fb-a9b4c0a09dae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c9b43641eb8e9dc64795c64a9b0cd31a9e19f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-1e8b-7681-87fb-a9b4c0a09dae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac12fd8f7c12434cb778de60278d5f568c69280e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2ee3-7f51-a5fb-d0204506c8b1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..71f051e22e6b1e844733ab53b260734ff093b305 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2ee3-7f51-a5fb-d0204506c8b1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e20dd790ef8babf8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e888a51e9286ffb9eed7f31a0207fb77d243b009 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10305, "bytes_utf8": 10305, "lines": 310, "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": 288, "bytes_utf8": 288, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14908, "cached_input_tokens": 13696, "output_tokens": 286, "reasoning_output_tokens": 214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e2281166c39105019d1e8c03c17561c6e36ae859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e87efbf53b244fbc", + "api_calls": 0, + "input_tokens": 14908, + "cached_input_tokens": 13696, + "output_tokens": 286, + "total_tokens": 15194, + "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": 8959.61, + "sql_execution_elapsed_ms_total": 5.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f01c40f601c367aae3257a3bc8b8e67002508333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/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": "2026-05-19T15:32:50.423038+00:00", + "ended_at": "2026-05-19T15:32:59.382680+00:00", + "elapsed_ms": 8959.61, + "prompt_metrics": { + "chars": 10305, + "bytes_utf8": 10305, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 288, + "bytes_utf8": 288, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14908, + "cached_input_tokens": 13696, + "output_tokens": 286, + "reasoning_output_tokens": 214 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..062dc403b92186985a4120ec00c0749d0e6237df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Browser.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Browser", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..678c82ede8a8b0fe12b4e465b452b22b3d78c6e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-4b81-7020-8f49-a44eb5130aaf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Browser\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Counts rows per Browser category to assess subgroup size distribution using the requested grouped-count template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14908,"cached_input_tokens":13696,"output_tokens":286,"reasoning_output_tokens":214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c4eb9fc4f11045488c67d3d8a2077e13ac6c560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Browser\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY \"row_count\" DESC;","notes":"Counts rows per Browser category to assess subgroup size distribution using the requested grouped-count template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e87efbf53b244fbc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..88687d001c1731a4e503adaa48fa589534bfd70d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/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=PageValues. +Result preview: [{"PageValues": "361.7637419"}, {"PageValues": "360.9533839"}, {"PageValues": "287.9537928"}, {"PageValues": "270.7846931"}, {"PageValues": "261.4912857"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2c549daa70b2ed4e7933322ccb62007f09fe7820 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_e8e383808e66fd1c +-- problem_id: v2p_m6_3a85e2c13d4cca61 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "PageValues", + NTILE(10) OVER (ORDER BY CAST("PageValues" AS REAL) DESC) AS tail_bucket + FROM "m6" +) +SELECT "PageValues" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("PageValues" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e9c46fb13ec0c3d83a3ea74cbc569c33f134574 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/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 \"PageValues\",\n NTILE(10) OVER (ORDER BY CAST(\"PageValues\" AS REAL) DESC) AS tail_bucket\n FROM \"m6\"\n)\nSELECT \"PageValues\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"PageValues\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"PageValues\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"PageValues\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"PageValues\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"PageValues\\\" AS REAL) DESC;\", \"columns\": [\"PageValues\"], \"rows\": [{\"PageValues\": \"361.7637419\"}, {\"PageValues\": \"360.9533839\"}, {\"PageValues\": \"287.9537928\"}, {\"PageValues\": \"270.7846931\"}, {\"PageValues\": \"261.4912857\"}, {\"PageValues\": \"258.5498732\"}, {\"PageValues\": \"255.5691579\"}, {\"PageValues\": \"254.6071579\"}, {\"PageValues\": \"246.7585902\"}, {\"PageValues\": \"239.98\"}, {\"PageValues\": \"226.6777017\"}, {\"PageValues\": \"218.8649096\"}, {\"PageValues\": \"218.3951915\"}, {\"PageValues\": \"215.0094118\"}, {\"PageValues\": \"214.3066627\"}, {\"PageValues\": \"204.0079491\"}, {\"PageValues\": \"179.307293\"}, {\"PageValues\": \"177.7714536\"}, {\"PageValues\": \"177.5288252\"}, {\"PageValues\": \"173.4697917\"}, {\"PageValues\": \"167.2308336\"}, {\"PageValues\": \"166.3735531\"}, {\"PageValues\": \"165.6204667\"}, {\"PageValues\": \"154.0955389\"}, {\"PageValues\": \"153.5776975\"}, {\"PageValues\": \"153.4432478\"}, {\"PageValues\": \"151.5650523\"}, {\"PageValues\": \"146.23875\"}, {\"PageValues\": \"144.3934888\"}, {\"PageValues\": \"143.4766783\"}, {\"PageValues\": \"143.2115385\"}, {\"PageValues\": \"141.4590538\"}, {\"PageValues\": \"140.6621366\"}, {\"PageValues\": \"138.3208342\"}, {\"PageValues\": \"136.937958\"}, {\"PageValues\": \"133.2813786\"}, {\"PageValues\": \"131.5040438\"}, {\"PageValues\": \"129.1013738\"}, {\"PageValues\": \"128.8278691\"}, {\"PageValues\": \"128.4686939\"}, {\"PageValues\": \"127.3080148\"}, {\"PageValues\": \"125.961749\"}, {\"PageValues\": \"125.8939091\"}, {\"PageValues\": \"124.9045858\"}, {\"PageValues\": \"124.032\"}, {\"PageValues\": \"120.587914\"}, {\"PageValues\": \"119.8943327\"}, {\"PageValues\": \"119.6414737\"}, {\"PageValues\": \"117.6165932\"}, {\"PageValues\": \"116.3378652\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 26.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e9c30ae10298b8b603ea91f78efdb93dfda9859b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:43:33.118715+00:00", + "ended_at": "2026-05-19T15:43:44.982081+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_e8e383808e66fd1c", + "problem_id": "v2p_m6_3a85e2c13d4cca61", + "dataset_id": "m6", + "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=PageValues.", + "bindings": { + "measure_col": "PageValues", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_b/m6/sql/v2q_m6_e8e383808e66fd1c.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e8e383808e66fd1c", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 385, + "total_tokens": 15375, + "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": 11831.37, + "sql_execution_elapsed_ms_total": 26.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aba51f1477df7a68f73ab9a9e0944c2f6c7ca080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:44.953054+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": 11831.37, "started_at": "2026-05-19T15:43:33.120303+00:00", "ended_at": "2026-05-19T15:43:44.951707+00:00", "prompt_metrics": {"chars": 10572, "bytes_utf8": 10572, "lines": 310, "estimated_tokens": null}, "response_metrics": {"chars": 506, "bytes_utf8": 506, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14990, "cached_input_tokens": 13696, "output_tokens": 385, "reasoning_output_tokens": 248}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"PageValues\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"PageValues\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"PageValues\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"PageValues\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"PageValues\\\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e464a764c00238a2f9486aac00d05350141eca9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e8e383808e66fd1c", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 385, + "total_tokens": 15375, + "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": 11831.37, + "sql_execution_elapsed_ms_total": 26.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1efd0db7a03794cb31f5c4db27df2b19b986098a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10501, "bytes_utf8": 10501, "lines": 312, "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": 438, "bytes_utf8": 438, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14947, "cached_input_tokens": 12032, "output_tokens": 297, "reasoning_output_tokens": 191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..99fce6d7127c97e3399370cdff7ffe3633a3b86c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e953ea6a871fd407", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 297, + "total_tokens": 15244, + "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": 8524.1, + "sql_execution_elapsed_ms_total": 23.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2d1befbb560899d1a487df699e708256b38ae56a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:02.596324+00:00", + "ended_at": "2026-05-19T16:09:11.120454+00:00", + "elapsed_ms": 8524.1, + "prompt_metrics": { + "chars": 10501, + "bytes_utf8": 10501, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 804, + "bytes_utf8": 804, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 438, + "bytes_utf8": 438, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 297, + "reasoning_output_tokens": 191 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a03ecb1b882bc902f68a8ab927e80ae59128158 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=VisitorType, measure_col=Administrative.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b3014af59f85ed10a0955760c9fc851d34b2e47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7092-7662-abf5-73b638bdfad6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"VisitorType\\\",\\n AVG(CAST(\\\"Administrative\\\" AS REAL)) OVER (PARTITION BY \\\"VisitorType\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m6\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the planned Window Partition Average template with group_col=\\\"VisitorType\\\" and measure_col=\\\"Administrative\\\". Cast \\\"Administrative\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14947,"cached_input_tokens":12032,"output_tokens":297,"reasoning_output_tokens":191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d40fe950b3ceabe3fedbde31fc230b5710ad58a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"VisitorType\",\n AVG(CAST(\"Administrative\" AS REAL)) OVER (PARTITION BY \"VisitorType\") AS \"avg_measure\"\nFROM \"m6\"\nORDER BY \"avg_measure\" DESC;","notes":"Used the planned Window Partition Average template with group_col=\"VisitorType\" and measure_col=\"Administrative\". Cast \"Administrative\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e953ea6a871fd407/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..840cea67d43525c780e31e2338d36d3fd2883d9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:07:54.259875+00:00", + "ended_at": "2026-05-19T16:08:01.821033+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_eda209f2b7f0ea9c", + "problem_id": "v2p_m6_c41975b04262c8d0", + "dataset_id": "m6", + "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=Month, measure_col=SpecialDay.", + "bindings": { + "group_col": "Month", + "measure_col": "SpecialDay", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_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_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..464f3cb971a3cb4e22acec24f8b520c6ebd6281c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:57.419647+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": 3157.17, "started_at": "2026-05-19T16:07:54.261716+00:00", "ended_at": "2026-05-19T16:07:57.418911+00:00", "prompt_metrics": {"chars": 10481, "bytes_utf8": 10481, "lines": 312, "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-6589-79a2-b2db-b1d6fa2fd8e0\"}\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": "2026-05-19T16:08:01.820914+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": 3399.52, "started_at": "2026-05-19T16:07:58.420671+00:00", "ended_at": "2026-05-19T16:08:01.820225+00:00", "prompt_metrics": {"chars": 10481, "bytes_utf8": 10481, "lines": 312, "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-75d4-7ef3-aae7-2849a8ed8cf0\"}\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_b/m6/artifacts/v2q_m6_eed2af41297c3d25/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8879feb6c4045bc09639168f0bdcab30d3c044f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 5768, "support_share": 0.4678021086780211, "support_rank": 1}, {"value_label": "1", "support": 1354, "support_share": 0.10981346309813463, "support_rank": 2}, {"value_label": "2", "support": 1114, "support_share": 0.09034874290348743, "support_rank": 3}, {"value_label": "3", "support": 915, "support_share": 0.07420924574209246, "support_rank": 4}, {"value_label": "4", "support": 765, "support_share": 0.06204379562043796, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8dba2db850a187790304d213d35fd52c19ed9b2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_eed2af41297c3d25 +-- problem_id: v2p_m6_e584d234385bc456 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Administrative" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "Administrative" +) +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_b/m6/artifacts/v2q_m6_eed2af41297c3d25/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3de222dcfb068c7bd78ae716b13bf87e97093d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/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_b\n-- sql_source_dataset_id: m6\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_m6_eed2af41297c3d25\n-- problem_id: v2p_m6_e584d234385bc456\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Administrative\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"Administrative\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_eed2af41297c3d25\\n-- problem_id: v2p_m6_e584d234385bc456\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Administrative\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Administrative\\\"\\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\": 5768, \"support_share\": 0.4678021086780211, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 1354, \"support_share\": 0.10981346309813463, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 1114, \"support_share\": 0.09034874290348743, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 915, \"support_share\": 0.07420924574209246, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 765, \"support_share\": 0.06204379562043796, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 575, \"support_share\": 0.04663422546634226, \"support_rank\": 6}, {\"value_label\": \"6\", \"support\": 432, \"support_share\": 0.035036496350364967, \"support_rank\": 7}, {\"value_label\": \"7\", \"support\": 338, \"support_share\": 0.027412814274128144, \"support_rank\": 8}, {\"value_label\": \"8\", \"support\": 287, \"support_share\": 0.023276561232765614, \"support_rank\": 9}, {\"value_label\": \"9\", \"support\": 225, \"support_share\": 0.01824817518248175, \"support_rank\": 10}, {\"value_label\": \"10\", \"support\": 153, \"support_share\": 0.012408759124087591, \"support_rank\": 11}, {\"value_label\": \"11\", \"support\": 105, \"support_share\": 0.00851581508515815, \"support_rank\": 12}, {\"value_label\": \"12\", \"support\": 86, \"support_share\": 0.006974858069748581, \"support_rank\": 13}, {\"value_label\": \"13\", \"support\": 56, \"support_share\": 0.004541768045417681, \"support_rank\": 14}, {\"value_label\": \"14\", \"support\": 44, \"support_share\": 0.0035685320356853203, \"support_rank\": 15}, {\"value_label\": \"15\", \"support\": 38, \"support_share\": 0.0030819140308191405, \"support_rank\": 16}, {\"value_label\": \"16\", \"support\": 24, \"support_share\": 0.0019464720194647203, \"support_rank\": 17}, {\"value_label\": \"17\", \"support\": 16, \"support_share\": 0.0012976480129764801, \"support_rank\": 18}, {\"value_label\": \"18\", \"support\": 12, \"support_share\": 0.0009732360097323601, \"support_rank\": 19}, {\"value_label\": \"19\", \"support\": 6, \"support_share\": 0.00048661800486618007, \"support_rank\": 20}, {\"value_label\": \"22\", \"support\": 4, \"support_share\": 0.00032441200324412003, \"support_rank\": 21}, {\"value_label\": \"24\", \"support\": 4, \"support_share\": 0.00032441200324412003, \"support_rank\": 22}, {\"value_label\": \"23\", \"support\": 3, \"support_share\": 0.00024330900243309004, \"support_rank\": 23}, {\"value_label\": \"20\", \"support\": 2, \"support_share\": 0.00016220600162206002, \"support_rank\": 24}, {\"value_label\": \"21\", \"support\": 2, \"support_share\": 0.00016220600162206002, \"support_rank\": 25}, {\"value_label\": \"26\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 26}, {\"value_label\": \"27\", \"support\": 1, \"support_share\": 8.110300081103001e-05, \"support_rank\": 27}], \"row_count_returned\": 27, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a73b993e1e55c2089c72d6d50f54027fb8a4329 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.061383+00:00", + "ended_at": "2026-05-19T16:09:18.066458+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_eed2af41297c3d25", + "problem_id": "v2p_m6_e584d234385bc456", + "dataset_id": "m6", + "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=Administrative.", + "bindings": { + "group_col": "Administrative" + }, + "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_b/m6/sql/v2q_m6_eed2af41297c3d25.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_b/m6/artifacts/v2q_m6_eed2af41297c3d25/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eed2af41297c3d25/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_b/m6/artifacts/v2q_m6_ef44400c802db8d7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..94caf006e3f35ce469d5bdde57b09e041b955b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/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=OperatingSystems, condition_col=VisitorType. +Result preview: [{"OperatingSystems": "6", "condition_ratio": 8.5}, {"OperatingSystems": "3", "condition_ratio": 8.363970588235293}, {"OperatingSystems": "4", "condition_ratio": 6.587301587301587}, {"OperatingSystems": "2", "condition_ratio": 6.035256410256411}, {"OperatingSystems": "7", "condition_ratio": 6.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9d5a69dfd45b3e8aa65076d3e2d105212ca055a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_ef44400c802db8d7 +-- problem_id: v2p_m6_18297aa09c8a7b64 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "OperatingSystems", + SUM(CASE WHEN "VisitorType" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "VisitorType" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count + FROM "m6" + GROUP BY "OperatingSystems" +) +SELECT "OperatingSystems", + 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_b/m6/artifacts/v2q_m6_ef44400c802db8d7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..959af4a52c711fc9976865ce1bbe0e4347e0bfc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/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 \"OperatingSystems\",\n SUM(CASE WHEN \"VisitorType\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"OperatingSystems\"\n)\nSELECT \"OperatingSystems\",\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 \\\"OperatingSystems\\\",\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"OperatingSystems\\\"\\n)\\nSELECT \\\"OperatingSystems\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"OperatingSystems\", \"condition_ratio\"], \"rows\": [{\"OperatingSystems\": \"6\", \"condition_ratio\": 8.5}, {\"OperatingSystems\": \"3\", \"condition_ratio\": 8.363970588235293}, {\"OperatingSystems\": \"4\", \"condition_ratio\": 6.587301587301587}, {\"OperatingSystems\": \"2\", \"condition_ratio\": 6.035256410256411}, {\"OperatingSystems\": \"7\", \"condition_ratio\": 6.0}, {\"OperatingSystems\": \"1\", \"condition_ratio\": 5.257281553398058}, {\"OperatingSystems\": \"8\", \"condition_ratio\": 2.125}, {\"OperatingSystems\": \"5\", \"condition_ratio\": null}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..baedb064b66180607f2db45328a750f3d8062695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:38:57.286416+00:00", + "ended_at": "2026-05-19T15:39:07.827415+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_ef44400c802db8d7", + "problem_id": "v2p_m6_18297aa09c8a7b64", + "dataset_id": "m6", + "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=OperatingSystems, condition_col=VisitorType.", + "bindings": { + "group_col": "OperatingSystems", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_b/m6/sql/v2q_m6_ef44400c802db8d7.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_ef44400c802db8d7", + "api_calls": 0, + "input_tokens": 15152, + "cached_input_tokens": 13696, + "output_tokens": 454, + "total_tokens": 15606, + "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": 10530.39, + "sql_execution_elapsed_ms_total": 6.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..797ef78ff5ed8403ef762413503c101eb314eac9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:07.819793+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": 10530.39, "started_at": "2026-05-19T15:38:57.288580+00:00", "ended_at": "2026-05-19T15:39:07.819042+00:00", "prompt_metrics": {"chars": 11266, "bytes_utf8": 11266, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15152, "cached_input_tokens": 13696, "output_tokens": 454, "reasoning_output_tokens": 279}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"OperatingSystems\\\",\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"OperatingSystems\\\"\\n)\\nSELECT \\\"OperatingSystems\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each OperatingSystems group, the ratio of Returning_Visitor rows to New_Visitor rows using the requested grouped ratio template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee4a3f586aea4c0bd9ced190aaf75b60c66a68d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_ef44400c802db8d7", + "api_calls": 0, + "input_tokens": 15152, + "cached_input_tokens": 13696, + "output_tokens": 454, + "total_tokens": 15606, + "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": 10530.39, + "sql_execution_elapsed_ms_total": 6.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..73887a281038255229cb64d2616e173841213e9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/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=OperatingSystems, measure_col=PageValues. +Result preview: [{"OperatingSystems": "8", "percentile_measure": 78.76421143200001}, {"OperatingSystems": "4", "percentile_measure": 27.963944737000002}, {"OperatingSystems": "6", "percentile_measure": 26.194147125999983}, {"OperatingSystems": "2", "percentile_measure": 22.20401709}, {"OperatingSystems": "1", "percentile_measure": 15.420233231999996}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee219db785015e1c91d64309ce7d5ba06e73d5e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_efc17b6bd64701e1 +-- problem_id: v2p_m6_ab3ade2ed4a1e90b +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "OperatingSystems", + CAST("PageValues" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "OperatingSystems" + ORDER BY CAST("PageValues" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "OperatingSystems" + ) AS "cnt" + FROM "m6" + WHERE "OperatingSystems" IS NOT NULL + AND "PageValues" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "OperatingSystems", + "cnt", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) = CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ordered" +), +"picked" AS ( + SELECT + p."OperatingSystems", + p."cnt", + p."pos", + MAX(CASE WHEN o."rn" = p."lo_rn" THEN o."measure_value" END) AS "lo_val", + MAX(CASE WHEN o."rn" = p."hi_rn" THEN o."measure_value" END) AS "hi_val" + FROM "positions" AS p + JOIN "ordered" AS o + ON o."OperatingSystems" = p."OperatingSystems" + GROUP BY + p."OperatingSystems", + p."cnt", + p."pos" +) +SELECT + "OperatingSystems", + CASE + WHEN "lo_val" IS NULL THEN NULL + WHEN "hi_val" IS NULL OR "pos" = CAST("pos" AS INTEGER) THEN "lo_val" + ELSE "lo_val" + ("pos" - CAST("pos" AS INTEGER)) * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..076b0480af11a59e3d5eb85ccfbfc00183f065ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/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 \"ordered\" AS (\n SELECT\n \"OperatingSystems\",\n CAST(\"PageValues\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"OperatingSystems\"\n ORDER BY CAST(\"PageValues\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"OperatingSystems\"\n ) AS \"cnt\"\n FROM \"m6\"\n WHERE \"OperatingSystems\" IS NOT NULL\n AND \"PageValues\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"OperatingSystems\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) = CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n p.\"OperatingSystems\",\n p.\"cnt\",\n p.\"pos\",\n MAX(CASE WHEN o.\"rn\" = p.\"lo_rn\" THEN o.\"measure_value\" END) AS \"lo_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"hi_rn\" THEN o.\"measure_value\" END) AS \"hi_val\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"OperatingSystems\" = p.\"OperatingSystems\"\n GROUP BY\n p.\"OperatingSystems\",\n p.\"cnt\",\n p.\"pos\"\n)\nSELECT\n \"OperatingSystems\",\n CASE\n WHEN \"lo_val\" IS NULL THEN NULL\n WHEN \"hi_val\" IS NULL OR \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lo_val\"\n ELSE \"lo_val\" + (\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n CAST(\\\"PageValues\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ORDER BY CAST(\\\"PageValues\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"OperatingSystems\\\" IS NOT NULL\\n AND \\\"PageValues\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"OperatingSystems\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"OperatingSystems\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"hi_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"OperatingSystems\\\" = p.\\\"OperatingSystems\\\"\\n GROUP BY\\n p.\\\"OperatingSystems\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\"\\n)\\nSELECT\\n \\\"OperatingSystems\\\",\\n CASE\\n WHEN \\\"lo_val\\\" IS NULL THEN NULL\\n WHEN \\\"hi_val\\\" IS NULL OR \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"OperatingSystems\", \"percentile_measure\"], \"rows\": [{\"OperatingSystems\": \"8\", \"percentile_measure\": 78.76421143200001}, {\"OperatingSystems\": \"4\", \"percentile_measure\": 27.963944737000002}, {\"OperatingSystems\": \"6\", \"percentile_measure\": 26.194147125999983}, {\"OperatingSystems\": \"2\", \"percentile_measure\": 22.20401709}, {\"OperatingSystems\": \"1\", \"percentile_measure\": 15.420233231999996}, {\"OperatingSystems\": \"5\", \"percentile_measure\": 13.094261465}, {\"OperatingSystems\": \"3\", \"percentile_measure\": 10.168085218}, {\"OperatingSystems\": \"7\", \"percentile_measure\": 0.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 45.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f964234074baf767ef143ed217ea3cf9a1604e4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:58:12.042947+00:00", + "ended_at": "2026-05-19T15:58:30.131658+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_efc17b6bd64701e1", + "problem_id": "v2p_m6_ab3ade2ed4a1e90b", + "dataset_id": "m6", + "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=OperatingSystems, measure_col=PageValues.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_efc17b6bd64701e1.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_efc17b6bd64701e1", + "api_calls": 0, + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 1166, + "total_tokens": 16141, + "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": 18038.91, + "sql_execution_elapsed_ms_total": 45.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b1c01b9e432829857440765c053096f4e144bc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:30.084434+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": 18038.91, "started_at": "2026-05-19T15:58:12.044638+00:00", "ended_at": "2026-05-19T15:58:30.083570+00:00", "prompt_metrics": {"chars": 10596, "bytes_utf8": 10596, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 2040, "bytes_utf8": 2040, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14975, "cached_input_tokens": 12032, "output_tokens": 1166, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n CAST(\\\"PageValues\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ORDER BY CAST(\\\"PageValues\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"OperatingSystems\\\" IS NOT NULL\\n AND \\\"PageValues\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"OperatingSystems\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"OperatingSystems\\\",\\n p.\\\"cnt\\\",\\n"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca60ed566e2a9e19d0eaa5c67c2708b8c47e18ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_efc17b6bd64701e1", + "api_calls": 0, + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 1166, + "total_tokens": 16141, + "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": 18038.91, + "sql_execution_elapsed_ms_total": 45.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f2fe538113bff6c4145a6260f7339d5f5e081891 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:59:30.639905+00:00", + "ended_at": "2026-05-19T15:59:38.741977+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_f19f12f7dbfcfa91", + "problem_id": "v2p_m6_ba1c8ba9a60f3e7b", + "dataset_id": "m6", + "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=VisitorType, condition_col=OperatingSystems.", + "bindings": { + "group_col": "VisitorType", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ee87bf89504dd74108788683a744409261c8493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:34.521717+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": 3878.34, "started_at": "2026-05-19T15:59:30.642487+00:00", "ended_at": "2026-05-19T15:59:34.520858+00:00", "prompt_metrics": {"chars": 10666, "bytes_utf8": 10666, "lines": 315, "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-b664-7092-baa3-27fe42905790\"}\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": "2026-05-19T15:59:38.741893+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": 3217.68, "started_at": "2026-05-19T15:59:35.523472+00:00", "ended_at": "2026-05-19T15:59:38.741205+00:00", "prompt_metrics": {"chars": 10666, "bytes_utf8": 10666, "lines": 315, "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-c97f-7771-b71f-6b2d4f0b0e3a\"}\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_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3324ce5b27365802585928a8053e88e9d4cd197c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/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=Informational, condition_col=SpecialDay. +Result preview: [{"Informational": "12", "condition_rate": 0.2}, {"Informational": "9", "condition_rate": 0.06666666666666667}, {"Informational": "0", "condition_rate": 0.03113723064233426}, {"Informational": "1", "condition_rate": 0.025936599423631124}, {"Informational": "2", "condition_rate": 0.01510989010989011}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a9a4bca4d17b465b8d54deef1eecd47240f31857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_f1f9567a571ec0e0 +-- problem_id: v2p_m6_05453fb19ea689f8 +-- realization_mode: agent +-- source_kind: agent +SELECT "Informational", + AVG(CASE WHEN "SpecialDay" = '0.6' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m6" +GROUP BY "Informational" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52bd7321881e254e5ee187d490a7dac3345bd646 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/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 \"Informational\",\n AVG(CASE WHEN \"SpecialDay\" = '0.6' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Informational\\\",\\n AVG(CASE WHEN \\\"SpecialDay\\\" = '0.6' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Informational\", \"condition_rate\"], \"rows\": [{\"Informational\": \"12\", \"condition_rate\": 0.2}, {\"Informational\": \"9\", \"condition_rate\": 0.06666666666666667}, {\"Informational\": \"0\", \"condition_rate\": 0.03113723064233426}, {\"Informational\": \"1\", \"condition_rate\": 0.025936599423631124}, {\"Informational\": \"2\", \"condition_rate\": 0.01510989010989011}, {\"Informational\": \"4\", \"condition_rate\": 0.013513513513513514}, {\"Informational\": \"6\", \"condition_rate\": 0.01282051282051282}, {\"Informational\": \"3\", \"condition_rate\": 0.010526315789473684}, {\"Informational\": \"5\", \"condition_rate\": 0.010101010101010102}, {\"Informational\": \"8\", \"condition_rate\": 0.0}, {\"Informational\": \"7\", \"condition_rate\": 0.0}, {\"Informational\": \"24\", \"condition_rate\": 0.0}, {\"Informational\": \"16\", \"condition_rate\": 0.0}, {\"Informational\": \"14\", \"condition_rate\": 0.0}, {\"Informational\": \"13\", \"condition_rate\": 0.0}, {\"Informational\": \"11\", \"condition_rate\": 0.0}, {\"Informational\": \"10\", \"condition_rate\": 0.0}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..850454f7d60d88ba05d10badc479bc5f687b1b00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:00:47.297115+00:00", + "ended_at": "2026-05-19T16:01:03.330898+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_f1f9567a571ec0e0", + "problem_id": "v2p_m6_05453fb19ea689f8", + "dataset_id": "m6", + "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=Informational, condition_col=SpecialDay.", + "bindings": { + "group_col": "Informational", + "condition_col": "SpecialDay", + "condition_value": "0.6", + "positive_value": "0", + "negative_value": "0.6", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_b/m6/sql/v2q_m6_f1f9567a571ec0e0.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f1f9567a571ec0e0", + "api_calls": 0, + "input_tokens": 15002, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 15333, + "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": 15023.58, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70ed985e0257bd5576cfbd6db90b987d8c4a6259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:50.261135+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": 2961.93, "started_at": "2026-05-19T16:00:47.298455+00:00", "ended_at": "2026-05-19T16:00:50.260409+00:00", "prompt_metrics": {"chars": 10662, "bytes_utf8": 10662, "lines": 315, "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\":\"019e40f7-e1f2-72f3-8672-28cbd36a8f89\"}\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": "2026-05-19T16:01:03.324887+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": 12061.65, "started_at": "2026-05-19T16:00:51.262518+00:00", "ended_at": "2026-05-19T16:01:03.324206+00:00", "prompt_metrics": {"chars": 10662, "bytes_utf8": 10662, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 470, "bytes_utf8": 470, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15002, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 206}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Informational\\\",\\n AVG(CASE WHEN \\\"SpecialDay\\\" = '0.6' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Used the provided Grouped Condition Rate template with group_col bound to \\\"Informational\\\" and condition_col bound to \\\"SpecialDay\\\". Compared against '0.6' as a string because the schema snapshot shows TEXT columns.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fa93286d83ef5acab1d08c8054b9626352c8e7c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f1f9567a571ec0e0", + "api_calls": 0, + "input_tokens": 15002, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 15333, + "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": 15023.58, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c807ee2aa2c0963052b4824872ecceb74baf0fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/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=Browser, measure_col=ProductRelated_Duration. +Result preview: [{"Browser": "2", "total_measure": 10445959.376070453}, {"Browser": "1", "total_measure": 2215789.69760766}, {"Browser": "4", "total_measure": 853353.24206563}, {"Browser": "5", "total_measure": 548554.74091278}, {"Browser": "6", "total_measure": 207396.6207248}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d78c358973915e580db4cb92f51abe100c2983dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_f534dfadeaa825b2 +-- problem_id: v2p_m6_4664594b763a0bc8 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Browser", + SUM(CAST("ProductRelated_Duration" AS REAL)) AS "total_measure" +FROM "m6" +GROUP BY "Browser" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa68ddc44898f8315375b48ce43a498d35d0d3b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"Browser\",\n SUM(CAST(\"ProductRelated_Duration\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Browser\\\",\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Browser\", \"total_measure\"], \"rows\": [{\"Browser\": \"2\", \"total_measure\": 10445959.376070453}, {\"Browser\": \"1\", \"total_measure\": 2215789.69760766}, {\"Browser\": \"4\", \"total_measure\": 853353.24206563}, {\"Browser\": \"5\", \"total_measure\": 548554.74091278}, {\"Browser\": \"6\", \"total_measure\": 207396.6207248}, {\"Browser\": \"10\", \"total_measure\": 198922.98247687}, {\"Browser\": \"8\", \"total_measure\": 84241.7960917}, {\"Browser\": \"3\", \"total_measure\": 74907.37524583}, {\"Browser\": \"7\", \"total_measure\": 46329.04082107}, {\"Browser\": \"13\", \"total_measure\": 42662.69207894}, {\"Browser\": \"12\", \"total_measure\": 6999.7950246}, {\"Browser\": \"11\", \"total_measure\": 4934.4330953}, {\"Browser\": \"9\", \"total_measure\": 1169.1}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad3eaf586139aca7ce484e334234b7d34b3721d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:30:12.275608+00:00", + "ended_at": "2026-05-19T15:30:22.348131+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_f534dfadeaa825b2", + "problem_id": "v2p_m6_4664594b763a0bc8", + "dataset_id": "m6", + "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=Browser, measure_col=ProductRelated_Duration.", + "bindings": { + "group_col": "Browser", + "measure_col": "ProductRelated_Duration", + "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": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_b/m6/sql/v2q_m6_f534dfadeaa825b2.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f534dfadeaa825b2", + "api_calls": 0, + "input_tokens": 14941, + "cached_input_tokens": 12032, + "output_tokens": 440, + "total_tokens": 15381, + "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": 10061.12, + "sql_execution_elapsed_ms_total": 7.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c3043c0d7c855b2308f5529c57e6f8b3c02057fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:22.339554+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": 10061.12, "started_at": "2026-05-19T15:30:12.277604+00:00", "ended_at": "2026-05-19T15:30:22.338754+00:00", "prompt_metrics": {"chars": 10435, "bytes_utf8": 10435, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14941, "cached_input_tokens": 12032, "output_tokens": 440, "reasoning_output_tokens": 338}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Browser\\\",\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with \\\"Browser\\\" as the grouping column and casts \\\"ProductRelated_Duration\\\" from TEXT to REAL for SQLite-compatible aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..956c2f700738a5860371b2345f944958f3f15b20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f534dfadeaa825b2", + "api_calls": 0, + "input_tokens": 14941, + "cached_input_tokens": 12032, + "output_tokens": 440, + "total_tokens": 15381, + "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": 10061.12, + "sql_execution_elapsed_ms_total": 7.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecbc191314eb7cae9e1dc8022bae15dd541d2eb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/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=OperatingSystems, measure_col=ProductRelated. +Result preview: [{"OperatingSystems": "2", "total_measure": 243291.0}, {"OperatingSystems": "3", "total_measure": 67616.0}, {"OperatingSystems": "1", "total_measure": 61224.0}, {"OperatingSystems": "4", "total_measure": 17317.0}, {"OperatingSystems": "8", "total_measure": 1182.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae166287d4341bf8b5f910d55207b7ac88e8fc7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_f5462fa4f2e17d2e +-- problem_id: v2p_m6_00050027a688f9a6 +-- realization_mode: agent +-- source_kind: agent +SELECT "OperatingSystems", SUM(CAST("ProductRelated" AS REAL)) AS total_measure +FROM "m6" +GROUP BY "OperatingSystems" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a2d84857ed7560c258e0f895a1ed75e0b6a98fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/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 \"OperatingSystems\", SUM(CAST(\"ProductRelated\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"OperatingSystems\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"OperatingSystems\", \"total_measure\"], \"rows\": [{\"OperatingSystems\": \"2\", \"total_measure\": 243291.0}, {\"OperatingSystems\": \"3\", \"total_measure\": 67616.0}, {\"OperatingSystems\": \"1\", \"total_measure\": 61224.0}, {\"OperatingSystems\": \"4\", \"total_measure\": 17317.0}, {\"OperatingSystems\": \"8\", \"total_measure\": 1182.0}, {\"OperatingSystems\": \"6\", \"total_measure\": 406.0}, {\"OperatingSystems\": \"7\", \"total_measure\": 140.0}, {\"OperatingSystems\": \"5\", \"total_measure\": 73.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a20c77632c37246a577508cdcc001b08ab15d694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:29:46.920193+00:00", + "ended_at": "2026-05-19T15:29:59.893965+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_f5462fa4f2e17d2e", + "problem_id": "v2p_m6_00050027a688f9a6", + "dataset_id": "m6", + "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=OperatingSystems, measure_col=ProductRelated.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "ProductRelated", + "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": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m6/sql/v2q_m6_f5462fa4f2e17d2e.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f5462fa4f2e17d2e", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 246, + "total_tokens": 15183, + "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": 12961.2, + "sql_execution_elapsed_ms_total": 8.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..13c6a28e629dce69e562073236e46a6455d9945d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:59.883624+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": 12961.2, "started_at": "2026-05-19T15:29:46.921562+00:00", "ended_at": "2026-05-19T15:29:59.882789+00:00", "prompt_metrics": {"chars": 10427, "bytes_utf8": 10427, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 408, "bytes_utf8": 408, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 13696, "output_tokens": 246, "reasoning_output_tokens": 147}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"OperatingSystems\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the bound template roles with \\\"OperatingSystems\\\" as the grouping column and \\\"ProductRelated\\\" as the summed measure. CAST to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..49c3165ae06cf48011e37bbd67ca7c49087eef4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f5462fa4f2e17d2e", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 246, + "total_tokens": 15183, + "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": 12961.2, + "sql_execution_elapsed_ms_total": 8.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeca0dffe7fa08d7b8384cd372e1fcad7071d0bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/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=Weekend, condition_col=VisitorType. +Result preview: [{"Weekend": "TRUE", "condition_rate": 0.16701534170153418}, {"Weekend": "FALSE", "condition_rate": 0.12840837032339886}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..11169a6fff86d8dfb5f3f9dfb94261928e1d43aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_f712928cb64b5f12 +-- problem_id: v2p_m6_f2a409ace5dd9ded +-- realization_mode: agent +-- source_kind: agent +SELECT "Weekend", + AVG(CASE WHEN "VisitorType" = 'New_Visitor' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m6" +GROUP BY "Weekend" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9bd714bf31ebb7d836bfbc9d2af34684770e42f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/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 \"Weekend\",\n AVG(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Weekend\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Weekend\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Weekend\", \"condition_rate\"], \"rows\": [{\"Weekend\": \"TRUE\", \"condition_rate\": 0.16701534170153418}, {\"Weekend\": \"FALSE\", \"condition_rate\": 0.12840837032339886}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c528887336bc4a973e04b73a685f74703f0ecb62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:55.034836+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": 8854.41, "started_at": "2026-05-19T15:59:46.179330+00:00", "ended_at": "2026-05-19T15:59:55.033778+00:00", "prompt_metrics": {"chars": 10680, "bytes_utf8": 10680, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 434, "bytes_utf8": 434, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15003, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 215}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Weekend\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"Weekend\\\" and condition_col=\\\"VisitorType\\\", measuring the within-group proportion of rows where VisitorType is 'New_Visitor'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..915eceadead828097be67e5e1b3fcaaf2a4c6a3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-f706-7301-bc47-3e133cac9204"} +{"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 \\\"OperatingSystems\\\", SUM(CAST(\\\"Browser\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n GROUP BY \\\"OperatingSystems\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"OperatingSystems\\\", 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 planned Relative-to-Total Extreme Threshold template with group_col=\\\"OperatingSystems\\\" and measure_col=\\\"Browser\\\". CAST was added because the schema snapshot stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":13696,"output_tokens":350,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c43b7b90484abc09e97f876d0e15dda397896d6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10967, "bytes_utf8": 10967, "lines": 312, "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": 830, "bytes_utf8": 830, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 12032, "output_tokens": 648, "reasoning_output_tokens": 425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5fdb0c2cf022f1b31d6411247d37ce6786e8eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/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": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f92cbd9cf459b7b9", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 648, + "total_tokens": 15721, + "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": 12614.04, + "sql_execution_elapsed_ms_total": 11.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cdadb7c960e473ea700d5d536e66a3cc7d92e11e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:52.047525+00:00", + "ended_at": "2026-05-19T15:47:04.661604+00:00", + "elapsed_ms": 12614.04, + "prompt_metrics": { + "chars": 10967, + "bytes_utf8": 10967, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1265, + "bytes_utf8": 1265, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 830, + "bytes_utf8": 830, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 648, + "reasoning_output_tokens": 425 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41bcbfebcc366b5c74eef0ec8e5f08652bc354fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +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": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Administrative, measure_col=ExitRates.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Administrative", + "measure_col": "ExitRates", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c38d24465f2ae1a3135e1d79ebdcd29177051196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-2375-7651-8419-948da84956d4"} +{"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 \\\"Administrative\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Administrative\\\" IS NOT NULL\\n AND \\\"Administrative\\\" <> ''\\n AND \\\"ExitRates\\\" IS NOT NULL\\n AND \\\"ExitRates\\\" <> ''\\n GROUP BY \\\"Administrative\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Administrative\\\", 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 required template with group_col=\\\"Administrative\\\" and measure_col=\\\"ExitRates\\\". CAST to REAL is added because the schema snapshot shows numeric values stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":12032,"output_tokens":648,"reasoning_output_tokens":425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..558dbf4c69f856387d818044a0da684e552b5fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"Administrative\", SUM(CAST(\"ExitRates\" AS REAL)) AS \"group_value\"\n FROM \"m6\"\n WHERE \"Administrative\" IS NOT NULL\n AND \"Administrative\" <> ''\n AND \"ExitRates\" IS NOT NULL\n AND \"ExitRates\" <> ''\n GROUP BY \"Administrative\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"Administrative\", 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 required template with group_col=\"Administrative\" and measure_col=\"ExitRates\". CAST to REAL is added because the schema snapshot shows numeric values stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f92cbd9cf459b7b9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecc5cfd5ec00dfb145db2ff84f263c47c4a6ea8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/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=OperatingSystems. +Result preview: [{"OperatingSystems": "8"}, {"OperatingSystems": "8"}, {"OperatingSystems": "8"}, {"OperatingSystems": "8"}, {"OperatingSystems": "8"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..01032ac413f4c1fcd38580cfb3d7acc8e32b395e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_f9b186731ff656db +-- problem_id: v2p_m6_a9e40e782d53aa60 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "OperatingSystems", + NTILE(10) OVER (ORDER BY CAST("OperatingSystems" AS REAL) DESC) AS "tail_bucket" + FROM "m6" +) +SELECT "OperatingSystems" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("OperatingSystems" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3dcda888c1ebb0fdb7e8ac431ad60e57ce17549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/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 \"OperatingSystems\",\n NTILE(10) OVER (ORDER BY CAST(\"OperatingSystems\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n)\nSELECT \"OperatingSystems\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"OperatingSystems\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"OperatingSystems\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"OperatingSystems\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"OperatingSystems\\\" AS REAL) DESC;\", \"columns\": [\"OperatingSystems\"], \"rows\": [{\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}, {\"OperatingSystems\": \"8\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..67bd2c6520977cfae09e20652455ad514d3cc9e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:43:59.870045+00:00", + "ended_at": "2026-05-19T15:44:10.119061+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_f9b186731ff656db", + "problem_id": "v2p_m6_a9e40e782d53aa60", + "dataset_id": "m6", + "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=OperatingSystems.", + "bindings": { + "measure_col": "OperatingSystems", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=66" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_b/m6/sql/v2q_m6_f9b186731ff656db.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f9b186731ff656db", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 436, + "total_tokens": 15426, + "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": 10229.52, + "sql_execution_elapsed_ms_total": 15.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7eb8f11f64b72a346630085c26184d29dfc25f47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:10.101808+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": 10229.52, "started_at": "2026-05-19T15:43:59.871518+00:00", "ended_at": "2026-05-19T15:44:10.101068+00:00", "prompt_metrics": {"chars": 10584, "bytes_utf8": 10584, "lines": 310, "estimated_tokens": null}, "response_metrics": {"chars": 585, "bytes_utf8": 585, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14990, "cached_input_tokens": 13696, "output_tokens": 436, "reasoning_output_tokens": 283}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"OperatingSystems\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"OperatingSystems\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"OperatingSystems\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"OperatingSystems\\\" and num_tiles=10. Casts \\\"OperatingSystems\\\" to REAL for numeric tail ordering because the SQLite snapshot stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2336656c1419855a0540ed48695881f57f3768f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f9b186731ff656db", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 436, + "total_tokens": 15426, + "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": 10229.52, + "sql_execution_elapsed_ms_total": 15.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9b186731ff656db/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a97161e04f9344bfb85df4dad97328d5dd80da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/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=Month, measure_col=Informational_Duration. +Result preview: [{"Month": "Nov", "total_measure": 130817.544862297}, {"Month": "May", "total_measure": 91376.868009378}, {"Month": "Dec", "total_measure": 65745.7809538}, {"Month": "Mar", "total_measure": 58494.86833806}, {"Month": "Oct", "total_measure": 21228.14238062}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7ccb5674b4215f68da0842193351b6e2a190f4b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_fbbdd9df7049b8b2 +-- problem_id: v2p_m6_319a4ca6f79a7b96 +-- realization_mode: agent +-- source_kind: agent +SELECT "Month", SUM(CAST("Informational_Duration" AS REAL)) AS "total_measure" +FROM "m6" +GROUP BY "Month" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66546ccdba5f039b9e9d30d7f528fa1cddfe742f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/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 \"Month\", SUM(CAST(\"Informational_Duration\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Month\\\", SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Month\", \"total_measure\"], \"rows\": [{\"Month\": \"Nov\", \"total_measure\": 130817.544862297}, {\"Month\": \"May\", \"total_measure\": 91376.868009378}, {\"Month\": \"Dec\", \"total_measure\": 65745.7809538}, {\"Month\": \"Mar\", \"total_measure\": 58494.86833806}, {\"Month\": \"Oct\", \"total_measure\": 21228.14238062}, {\"Month\": \"Jul\", \"total_measure\": 19664.81666674}, {\"Month\": \"Sep\", \"total_measure\": 16010.10190463}, {\"Month\": \"Aug\", \"total_measure\": 15377.72}, {\"Month\": \"June\", \"total_measure\": 5889.8233333}, {\"Month\": \"Feb\", \"total_measure\": 439.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0e7945e883ececcb49a7be6cb0573d93b6385a1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:29:17.851506+00:00", + "ended_at": "2026-05-19T15:29:25.827127+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_fbbdd9df7049b8b2", + "problem_id": "v2p_m6_319a4ca6f79a7b96", + "dataset_id": "m6", + "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=Month, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Month", + "measure_col": "Informational_Duration", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {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=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_b/m6/sql/v2q_m6_fbbdd9df7049b8b2.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fbbdd9df7049b8b2", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 12032, + "output_tokens": 282, + "total_tokens": 15221, + "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": 7963.86, + "sql_execution_elapsed_ms_total": 7.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..635d515a75ccf46ebf230e2b7b6c9b30a45d573d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:25.817798+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": 7963.86, "started_at": "2026-05-19T15:29:17.852895+00:00", "ended_at": "2026-05-19T15:29:25.816785+00:00", "prompt_metrics": {"chars": 10418, "bytes_utf8": 10418, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14939, "cached_input_tokens": 12032, "output_tokens": 282, "reasoning_output_tokens": 174}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Month\\\", SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"Month\\\" and measure_col=\\\"Informational_Duration\\\". Casted \\\"Informational_Duration\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cf7d59f15af056066bd5364e4ed58eb3c1f77497 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fbbdd9df7049b8b2", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 12032, + "output_tokens": 282, + "total_tokens": 15221, + "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": 7963.86, + "sql_execution_elapsed_ms_total": 7.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..067eb5a03e87b9713f15c3175b87315439bdb5f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/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=VisitorType, measure_col=Administrative_Duration. +Result preview: [{"VisitorType": "Returning_Visitor", "percentile_measure": 226.09}, {"VisitorType": "New_Visitor", "percentile_measure": 223.0}, {"VisitorType": "Other", "percentile_measure": 118.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..11c62da261783e6c3ee165827e9f788f066f9424 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_fcc1f0615f927b4c +-- problem_id: v2p_m6_e2b31aee86ab984f +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "VisitorType" AS "group_col", + CAST("Administrative_Duration" AS REAL) AS "measure_col", + CUME_DIST() OVER ( + PARTITION BY "VisitorType" + ORDER BY CAST("Administrative_Duration" AS REAL) + ) AS "cume_dist" + FROM "m6" + WHERE "VisitorType" IS NOT NULL + AND "Administrative_Duration" IS NOT NULL + AND TRIM("Administrative_Duration") <> '' +) +SELECT + "group_col" AS "VisitorType", + MIN("measure_col") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.9 +GROUP BY "group_col" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cf97f6d7e6d92480ff2eba184d68809755484fe6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/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 \"VisitorType\" AS \"group_col\",\n CAST(\"Administrative_Duration\" AS REAL) AS \"measure_col\",\n CUME_DIST() OVER (\n PARTITION BY \"VisitorType\"\n ORDER BY CAST(\"Administrative_Duration\" AS REAL)\n ) AS \"cume_dist\"\n FROM \"m6\"\n WHERE \"VisitorType\" IS NOT NULL\n AND \"Administrative_Duration\" IS NOT NULL\n AND TRIM(\"Administrative_Duration\") <> ''\n)\nSELECT\n \"group_col\" AS \"VisitorType\",\n MIN(\"measure_col\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist\" >= 0.9\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"VisitorType\\\" AS \\\"group_col\\\",\\n CAST(\\\"Administrative_Duration\\\" AS REAL) AS \\\"measure_col\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"VisitorType\\\"\\n ORDER BY CAST(\\\"Administrative_Duration\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"VisitorType\\\",\\n MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.9\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"VisitorType\", \"percentile_measure\"], \"rows\": [{\"VisitorType\": \"Returning_Visitor\", \"percentile_measure\": 226.09}, {\"VisitorType\": \"New_Visitor\", \"percentile_measure\": 223.0}, {\"VisitorType\": \"Other\", \"percentile_measure\": 118.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 26.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..43b7f9a67990f48df26af1abbef28bfc84fc05bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T15:51:06.370706+00:00", + "ended_at": "2026-05-19T15:51:21.397636+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_fcc1f0615f927b4c", + "problem_id": "v2p_m6_e2b31aee86ab984f", + "dataset_id": "m6", + "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=VisitorType, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative_Duration", + "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": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_fcc1f0615f927b4c.sql", + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fcc1f0615f927b4c", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 768, + "total_tokens": 15746, + "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": 14995.94, + "sql_execution_elapsed_ms_total": 26.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1a4bb939e0ba7d87a06acff6b72280b87aef2c8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:21.369319+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": 14995.94, "started_at": "2026-05-19T15:51:06.372448+00:00", "ended_at": "2026-05-19T15:51:21.368414+00:00", "prompt_metrics": {"chars": 10615, "bytes_utf8": 10615, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 941, "bytes_utf8": 941, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 768, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"VisitorType\\\" AS \\\"group_col\\\",\\n CAST(\\\"Administrative_Duration\\\" AS REAL) AS \\\"measure_col\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"VisitorType\\\"\\n ORDER BY CAST(\\\"Administrative_Duration\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"VisitorType\\\",\\n MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.9\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the smallest Administrative_Duration value in each VisitorType group whose cumulative distribution reaches 0.9, with Administrative_Duration cast from TEXT to REAL.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b0a047853453ae2d0696a1ae8a1db97804c2fc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fcc1f0615f927b4c", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 768, + "total_tokens": 15746, + "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": 14995.94, + "sql_execution_elapsed_ms_total": 26.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..acfa17eb89b411038cbb2ad7803804b5e5e02b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 4780, "support_share": 0.38767234387672345, "support_rank": 1}, {"value_label": "3", "support": 2403, "support_share": 0.1948905109489051, "support_rank": 2}, {"value_label": "4", "support": 1182, "support_share": 0.09586374695863747, "support_rank": 3}, {"value_label": "2", "support": 1136, "support_share": 0.09213300892133008, "support_rank": 4}, {"value_label": "6", "support": 805, "support_share": 0.06528791565287916, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aeb3245048f5cc120db08a4df3e2acbc1ec3611e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m6 +-- 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_m6_ff3e139a48c76481 +-- problem_id: v2p_m6_fc39e5e9e0d8ddf5 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Region" AS value_label, COUNT(*) AS support + FROM "m6" + GROUP BY "Region" +) +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_b/m6/artifacts/v2q_m6_ff3e139a48c76481/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c71b3bb0848eb557d192ca5e48369e5a3e8e7bdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/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_b\n-- sql_source_dataset_id: m6\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_m6_ff3e139a48c76481\n-- problem_id: v2p_m6_fc39e5e9e0d8ddf5\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Region\" AS value_label, COUNT(*) AS support\n FROM \"m6\"\n GROUP BY \"Region\"\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_b\\n-- sql_source_dataset_id: m6\\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_m6_ff3e139a48c76481\\n-- problem_id: v2p_m6_fc39e5e9e0d8ddf5\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Region\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Region\\\"\\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\": \"1\", \"support\": 4780, \"support_share\": 0.38767234387672345, \"support_rank\": 1}, {\"value_label\": \"3\", \"support\": 2403, \"support_share\": 0.1948905109489051, \"support_rank\": 2}, {\"value_label\": \"4\", \"support\": 1182, \"support_share\": 0.09586374695863747, \"support_rank\": 3}, {\"value_label\": \"2\", \"support\": 1136, \"support_share\": 0.09213300892133008, \"support_rank\": 4}, {\"value_label\": \"6\", \"support\": 805, \"support_share\": 0.06528791565287916, \"support_rank\": 5}, {\"value_label\": \"7\", \"support\": 761, \"support_share\": 0.06171938361719383, \"support_rank\": 6}, {\"value_label\": \"9\", \"support\": 511, \"support_share\": 0.04144363341443633, \"support_rank\": 7}, {\"value_label\": \"8\", \"support\": 434, \"support_share\": 0.03519870235198702, \"support_rank\": 8}, {\"value_label\": \"5\", \"support\": 318, \"support_share\": 0.02579075425790754, \"support_rank\": 9}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e439541e37fc18ea96e6062ca46dd8bdbdad1930 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m6", + "started_at": "2026-05-19T16:09:18.091714+00:00", + "ended_at": "2026-05-19T16:09:18.096724+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m6_ff3e139a48c76481", + "problem_id": "v2p_m6_fc39e5e9e0d8ddf5", + "dataset_id": "m6", + "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=Region.", + "bindings": { + "group_col": "Region" + }, + "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_b/m6/sql/v2q_m6_ff3e139a48c76481.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_b/m6/artifacts/v2q_m6_ff3e139a48c76481/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ff3e139a48c76481/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