diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..731f306b6a5fe55cdff5517d6a20a930a0d4b9b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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=Class, condition_col=Class. +Result preview: [{"Class": "DERMASON", "condition_rate": 1.0}, {"Class": "SIRA", "condition_rate": 0.0}, {"Class": "SEKER", "condition_rate": 0.0}, {"Class": "HOROZ", "condition_rate": 0.0}, {"Class": "CALI", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3ebaf0807c81343b5da732e7dbf9f19464100957 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_00d23b2d26d79329 +-- problem_id: v2p_n10_c645ea59de3fc205 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", + AVG(CASE WHEN "Class" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate +FROM "n10" +GROUP BY "Class" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..637c1d64ddf80357ca7d6710d9e02c3704d8e954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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 \"Class\",\n AVG(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Class\", \"condition_rate\"], \"rows\": [{\"Class\": \"DERMASON\", \"condition_rate\": 1.0}, {\"Class\": \"SIRA\", \"condition_rate\": 0.0}, {\"Class\": \"SEKER\", \"condition_rate\": 0.0}, {\"Class\": \"HOROZ\", \"condition_rate\": 0.0}, {\"Class\": \"CALI\", \"condition_rate\": 0.0}, {\"Class\": \"BOMBAY\", \"condition_rate\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..85dd325a72e1e604f7f6fe2f74f8ca90115d24f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:57:53.369914+00:00", + "ended_at": "2026-05-19T15:58:01.452258+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_00d23b2d26d79329", + "problem_id": "v2p_n10_c645ea59de3fc205", + "dataset_id": "n10", + "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=Class, condition_col=Class.", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 376.495012, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_d/n10/sql/v2q_n10_00d23b2d26d79329.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_00d23b2d26d79329", + "api_calls": 0, + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 299, + "total_tokens": 15752, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8069.45, + "sql_execution_elapsed_ms_total": 5.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17c944a226a90e7cb9696c980d3a290d67362c5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:01.444823+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": 8069.45, "started_at": "2026-05-19T15:57:53.374619+00:00", "ended_at": "2026-05-19T15:58:01.444102+00:00", "prompt_metrics": {"chars": 11160, "bytes_utf8": 11160, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 437, "bytes_utf8": 437, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15453, "cached_input_tokens": 14720, "output_tokens": 299, "reasoning_output_tokens": 174}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applies the Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because both roles use the same column, the rate is 1.0 for the DERMASON group and 0.0 for all other classes.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9da150b8c36dd9a636f80b4957fbb727ca369f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_00d23b2d26d79329", + "api_calls": 0, + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 299, + "total_tokens": 15752, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8069.45, + "sql_execution_elapsed_ms_total": 5.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f30104f9e4de6bd4203dd3560829ba5b81ad72cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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=Class, measure_col=Solidity. +Result preview: [{"Class": "BOMBAY", "roundness": "0.92688199531597326", "total_measure": 0.9946774999456888, "share_within_group": 0.19308026646844795}, {"Class": "BOMBAY", "roundness": "0.8839761020656679", "total_measure": 0.9940817732784658, "share_within_group": 0.1929646279186104}, {"Class": "BOMBAY", "roundness": "0.87826903225719011", "total_measure": 0.9940491752256458, "share_within_group": 0.19295830019859544}, {"Class": "BOMBAY", "roundness": "0.89809479893722877", "total_measure": 0.9937707547382927, "share_within_group": 0.19290425504135467}, {"Class": "BOMBAY", "roundness": "0.91564960763908165", "total_measure": 0.9936575542232818, "share_within_group": 0.19288228130051518}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f76d3a4b0b8890cbf99ff5632f183f2f5352d8bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_024ce539bf56dacf +-- problem_id: v2p_n10_35563b388ff6a05e +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + "roundness", + SUM(CAST("Solidity" AS REAL)) AS "total_measure", + SUM(CAST("Solidity" AS REAL)) * 100.0 / SUM(SUM(CAST("Solidity" AS REAL))) OVER (PARTITION BY "Class") AS "share_within_group" +FROM "n10" +GROUP BY "Class", "roundness" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..daf258634e89d032f5ef00a664edf6281734b35a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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 \"Class\",\n \"roundness\",\n SUM(CAST(\"Solidity\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Solidity\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Solidity\" AS REAL))) OVER (PARTITION BY \"Class\") AS \"share_within_group\"\nFROM \"n10\"\nGROUP BY \"Class\", \"roundness\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Class\\\",\\n \\\"roundness\\\",\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Solidity\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"roundness\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Class\", \"roundness\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"roundness\": \"0.92688199531597326\", \"total_measure\": 0.9946774999456888, \"share_within_group\": 0.19308026646844795}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8839761020656679\", \"total_measure\": 0.9940817732784658, \"share_within_group\": 0.1929646279186104}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87826903225719011\", \"total_measure\": 0.9940491752256458, \"share_within_group\": 0.19295830019859544}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89809479893722877\", \"total_measure\": 0.9937707547382927, \"share_within_group\": 0.19290425504135467}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91564960763908165\", \"total_measure\": 0.9936575542232818, \"share_within_group\": 0.19288228130051518}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.9225136551891111\", \"total_measure\": 0.993581944059029, \"share_within_group\": 0.19286760435179318}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.94058768780020996\", \"total_measure\": 0.9935697611026462, \"share_within_group\": 0.19286523947627832}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87594448486543675\", \"total_measure\": 0.993429573982055, \"share_within_group\": 0.19283802727272426}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.95010449643105244\", \"total_measure\": 0.9934097746116236, \"share_within_group\": 0.19283418394891427}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89970082334029589\", \"total_measure\": 0.9933924596304018, \"share_within_group\": 0.19283082287842823}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89468697088276428\", \"total_measure\": 0.993139618824061, \"share_within_group\": 0.19278174308094106}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90867240115286407\", \"total_measure\": 0.9930259945115495, \"share_within_group\": 0.19275968707531288}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90314990038869136\", \"total_measure\": 0.9928777020676691, \"share_within_group\": 0.19273090151961142}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91540973416825477\", \"total_measure\": 0.9928002721156995, \"share_within_group\": 0.1927158713256443}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89181058082968534\", \"total_measure\": 0.9927827129817809, \"share_within_group\": 0.19271246286183952}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8867247662976776\", \"total_measure\": 0.9927055905478138, \"share_within_group\": 0.19269749236124828}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86433171771621919\", \"total_measure\": 0.9926660702523619, \"share_within_group\": 0.19268982094093645}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88088969368850856\", \"total_measure\": 0.9926538231679884, \"share_within_group\": 0.1926874436173171}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86768854916913141\", \"total_measure\": 0.992551393318481, \"share_within_group\": 0.1926675606073583}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.85688960288510863\", \"total_measure\": 0.9925484751178038, \"share_within_group\": 0.1926669941454001}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86180471325093\", \"total_measure\": 0.9925380315028818, \"share_within_group\": 0.1926649668994313}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89519232424722439\", \"total_measure\": 0.9925024325308469, \"share_within_group\": 0.19265805666067867}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88393780986314985\", \"total_measure\": 0.9924756368402529, \"share_within_group\": 0.1926528552571279}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89304802288631646\", \"total_measure\": 0.9924183626998839, \"share_within_group\": 0.19264173757699057}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.92300872189099814\", \"total_measure\": 0.9924145103077017, \"share_within_group\": 0.19264098977591018}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.84820242411780089\", \"total_measure\": 0.9923811962802311, \"share_within_group\": 0.19263452307559625}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91801535151849034\", \"total_measure\": 0.9923780399849984, \"share_within_group\": 0.19263391039628602}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86704885085754735\", \"total_measure\": 0.9922503725782414, \"share_within_group\": 0.19260912843739247}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.93230297989277522\", \"total_measure\": 0.9922433562660191, \"share_within_group\": 0.19260776647692432}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86919390478645064\", \"total_measure\": 0.9922211150347386, \"share_within_group\": 0.19260344915511654}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88573050070974157\", \"total_measure\": 0.9921186520735772, \"share_within_group\": 0.19258355971774083}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90840471603813655\", \"total_measure\": 0.992112596231049, \"share_within_group\": 0.1925823841973444}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88993611740135514\", \"total_measure\": 0.9920897361084096, \"share_within_group\": 0.1925779467404089}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89053974610829445\", \"total_measure\": 0.9920496597827384, \"share_within_group\": 0.19257016738716115}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90187818893906979\", \"total_measure\": 0.9920270447050076, \"share_within_group\": 0.19256577749673467}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87793150106490314\", \"total_measure\": 0.9919990883518962, \"share_within_group\": 0.19256035079299547}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88710416521644753\", \"total_measure\": 0.9919565620626275, \"share_within_group\": 0.1925520958688976}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87962307120293481\", \"total_measure\": 0.9919478835407083, \"share_within_group\": 0.19255041125119507}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89638442758555736\", \"total_measure\": 0.9919276440386263, \"share_within_group\": 0.1925464824919184}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89976898787820736\", \"total_measure\": 0.9919236324017534, \"share_within_group\": 0.1925457037793041}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89481154136033569\", \"total_measure\": 0.991883635037162, \"share_within_group\": 0.1925379397534628}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89760286587862781\", \"total_measure\": 0.9918753077534942, \"share_within_group\": 0.19253632331582382}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90667907701930017\", \"total_measure\": 0.9918586063849754, \"share_within_group\": 0.19253308135580746}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90661600918335461\", \"total_measure\": 0.9918359412965303, \"share_within_group\": 0.19252868175762944}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89375294660468163\", \"total_measure\": 0.9918022657054583, \"share_within_group\": 0.19252214487296276}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.9126822439491582\", \"total_measure\": 0.9917893513697204, \"share_within_group\": 0.19251963802688885}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88973025850229315\", \"total_measure\": 0.9917707696339653, \"share_within_group\": 0.19251603106232876}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8831680830806361\", \"total_measure\": 0.9917657778165498, \"share_within_group\": 0.19251506208350216}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89888452447710343\", \"total_measure\": 0.9917526046733766, \"share_within_group\": 0.1925125049994279}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86829459505988071\", \"total_measure\": 0.9917263488534004, \"share_within_group\": 0.19250740839201735}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 72.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e3985a3cf8d84778705a72823b17ac4f4af9447f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:34:12.813586+00:00", + "ended_at": "2026-05-19T15:34:25.572638+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_024ce539bf56dacf", + "problem_id": "v2p_n10_35563b388ff6a05e", + "dataset_id": "n10", + "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=Class, measure_col=Solidity.", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "item_col": "roundness", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.989386, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_024ce539bf56dacf.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_024ce539bf56dacf", + "api_calls": 0, + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 662, + "total_tokens": 16169, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12679.51, + "sql_execution_elapsed_ms_total": 72.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c96a954b1c567c48f694259b7a4a98d839ca045 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:25.497349+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": 12679.51, "started_at": "2026-05-19T15:34:12.816356+00:00", "ended_at": "2026-05-19T15:34:25.495893+00:00", "prompt_metrics": {"chars": 11310, "bytes_utf8": 11310, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 632, "bytes_utf8": 632, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15507, "cached_input_tokens": 12032, "output_tokens": 662, "reasoning_output_tokens": 484}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Class\\\",\\n \\\"roundness\\\",\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Solidity\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"roundness\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with fixed bindings group_col=\\\"Class\\\", item_col=\\\"roundness\\\", and measure_col=\\\"Solidity\\\". Cast \\\"Solidity\\\" to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c5288d6d85d88abe806ae99a8de66e5bc7cdcdcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_024ce539bf56dacf", + "api_calls": 0, + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 662, + "total_tokens": 16169, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12679.51, + "sql_execution_elapsed_ms_total": 72.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b544af5324b582a135e82c0758cf7969bafb2d1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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=Class, measure_col=Solidity. +Result preview: [{"Class": "DERMASON", "group_value": 3504.2495973446403}, {"Class": "SIRA", "group_value": 2604.2912502462927}, {"Class": "SEKER", "group_value": 2007.4408196432141}, {"Class": "HOROZ", "group_value": 1900.0061162136512}, {"Class": "CALI", "group_value": 1605.583831650607}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..019ba749ff37f5e32fbb125ecf0dc8e426459fb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/generated_sql.sql @@ -0,0 +1,29 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_0255ce6fcc3e0a7a +-- problem_id: v2p_n10_38621dbfb2086f0c +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Class", SUM(CAST("Solidity" AS REAL)) AS "group_value" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "Solidity" IS NOT NULL + GROUP BY "Class" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."Class", 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_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..578a11a5e3b191038e0de4927cd1c26377c30ed7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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 \"Class\", SUM(CAST(\"Solidity\" AS REAL)) AS \"group_value\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Solidity\" IS NOT NULL\n GROUP BY \"Class\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"Class\", 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 \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Solidity\\\" IS NOT NULL\\n GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"DERMASON\", \"group_value\": 3504.2495973446403}, {\"Class\": \"SIRA\", \"group_value\": 2604.2912502462927}, {\"Class\": \"SEKER\", \"group_value\": 2007.4408196432141}, {\"Class\": \"HOROZ\", \"group_value\": 1900.0061162136512}, {\"Class\": \"CALI\", \"group_value\": 1605.583831650607}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..532aa951e9b65734b9d35543ce2d724d9df586e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:46:05.627261+00:00", + "ended_at": "2026-05-19T15:46:18.990982+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_0255ce6fcc3e0a7a", + "problem_id": "v2p_n10_38621dbfb2086f0c", + "dataset_id": "n10", + "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=Class, measure_col=Solidity.", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_0255ce6fcc3e0a7a.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0255ce6fcc3e0a7a", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 661, + "total_tokens": 16187, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13338.36, + "sql_execution_elapsed_ms_total": 17.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5586351121be3c51cc6966a914a7d335ccffe33b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:18.971252+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": 13338.36, "started_at": "2026-05-19T15:46:05.631667+00:00", "ended_at": "2026-05-19T15:46:18.970069+00:00", "prompt_metrics": {"chars": 11452, "bytes_utf8": 11452, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 766, "bytes_utf8": 766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 661, "reasoning_output_tokens": 442}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Solidity\\\" IS NOT NULL\\n GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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 provided relative-to-total threshold template with group_col=\\\"Class\\\", measure_col=\\\"Solidity\\\", and fraction_threshold=0.1. Cast \\\"Solidity\\\" from TEXT to REAL for numeric aggregation and filtered NULLs for stability.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..983fcecbc080bf5d4252505a345574b6ba952727 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0255ce6fcc3e0a7a", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 661, + "total_tokens": 16187, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13338.36, + "sql_execution_elapsed_ms_total": 17.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..008bf8920c4345d6da36d26e22bebabe54b0920a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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=Class, measure_col=EquivDiameter. +Result preview: [{"Class": "DERMASON", "total_measure": 715170.801036799}, {"Class": "SIRA", "total_measure": 628251.8924402109}, {"Class": "CALI", "total_measure": 504542.5068795167}, {"Class": "HOROZ", "total_measure": 502688.81766233675}, {"Class": "SEKER", "total_measure": 455970.4896642242}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..16a9d9ff125900ec95029a4e215c800d0e800d0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_0261622b6183fc3e +-- problem_id: v2p_n10_beeb7f6f0e9d7e04 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("EquivDiameter" AS REAL)) AS "total_measure" +FROM "n10" +GROUP BY "Class" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f71e4031f1f2fc405e9c4027d92a06a28e257895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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 \"Class\", SUM(CAST(\"EquivDiameter\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"Class\\\", SUM(CAST(\\\"EquivDiameter\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 715170.801036799}, {\"Class\": \"SIRA\", \"total_measure\": 628251.8924402109}, {\"Class\": \"CALI\", \"total_measure\": 504542.5068795167}, {\"Class\": \"HOROZ\", \"total_measure\": 502688.81766233675}, {\"Class\": \"SEKER\", \"total_measure\": 455970.4896642242}, {\"Class\": \"BARBUNYA\", \"total_measure\": 393045.165189257}, {\"Class\": \"BOMBAY\", \"total_measure\": 244787.4245256598}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..50e11284f1ee59fb7150f7423a7e1505207ad355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:31:00.093840+00:00", + "ended_at": "2026-05-19T15:31:15.508386+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_0261622b6183fc3e", + "problem_id": "v2p_n10_beeb7f6f0e9d7e04", + "dataset_id": "n10", + "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=Class, measure_col=EquivDiameter.", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 279.446467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_0261622b6183fc3e.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0261622b6183fc3e", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 608, + "total_tokens": 15998, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15399.52, + "sql_execution_elapsed_ms_total": 9.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aabe6e5dc8716e5e4a509e75044d051b8f62d6cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:15.497369+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": 15399.52, "started_at": "2026-05-19T15:31:00.096970+00:00", "ended_at": "2026-05-19T15:31:15.496519+00:00", "prompt_metrics": {"chars": 10908, "bytes_utf8": 10908, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 403, "bytes_utf8": 403, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 608, "reasoning_output_tokens": 498}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"Class\\\", SUM(CAST(\\\"EquivDiameter\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with \\\"Class\\\" as the grouping column and \\\"EquivDiameter\\\" as the measure. \\\"EquivDiameter\\\" is cast to REAL because the schema snapshot stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4525e972ee3f5efa340d7fbd983a89bd05ec004a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0261622b6183fc3e", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 608, + "total_tokens": 15998, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15399.52, + "sql_execution_elapsed_ms_total": 9.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a2f6e2ffa9388e63cc814d40ec94e23b8aba7111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11066, "bytes_utf8": 11066, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 447, "bytes_utf8": 447, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 12032, "output_tokens": 433, "reasoning_output_tokens": 309}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c6e76af5df50c5a8d309ec56fded8b408726dd8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_060990fc5fbb4971", + "api_calls": 0, + "input_tokens": 15432, + "cached_input_tokens": 12032, + "output_tokens": 433, + "total_tokens": 15865, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9922.91, + "sql_execution_elapsed_ms_total": 12.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..17ac6fe45bad6b0967e48660112d5b4d1f7211e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:44.448559+00:00", + "ended_at": "2026-05-19T16:04:54.371511+00:00", + "elapsed_ms": 9922.91, + "prompt_metrics": { + "chars": 11066, + "bytes_utf8": 11066, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 811, + "bytes_utf8": 811, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 447, + "bytes_utf8": 447, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15432, + "cached_input_tokens": 12032, + "output_tokens": 433, + "reasoning_output_tokens": 309 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f7458504a792d486aceb01fac75ee3662e55d06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=Solidity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "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": 0.989386, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..345c349ccd46e8c7dcc2afc2e742ab7541b15c19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-802d-7663-b972-3116ee389ef9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking.\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Solidity\\\" AS REAL)) > 0.989386\\nORDER BY total_measure DESC\\nLIMIT 17;\",\"notes\":\"Used the planned Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"Solidity\\\". Cast \\\"Solidity\\\" to REAL because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15432,"cached_input_tokens":12032,"output_tokens":433,"reasoning_output_tokens":309}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25a31cc59d969d5f7eabac5f92850e14c6251e37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking.\nSELECT \"Class\", SUM(CAST(\"Solidity\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Solidity\" AS REAL)) > 0.989386\nORDER BY total_measure DESC\nLIMIT 17;","notes":"Used the planned Thresholded Group Ranking template with group_col=\"Class\" and measure_col=\"Solidity\". Cast \"Solidity\" 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_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_060990fc5fbb4971/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae653643392da497e4ead53834ec5106d2ccdac0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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=Class, measure_col=ShapeFactor4. +Result preview: [{"Class": "SEKER", "Area": "38426", "total_measure": 3.9943383035552915, "share_within_group": 0.19737585990225695}, {"Class": "BOMBAY", "Area": "186003", "total_measure": 0.9991475791034169, "share_within_group": 0.19298215755082965}, {"Class": "BOMBAY", "Area": "132399", "total_measure": 0.9990488528172804, "share_within_group": 0.19296308888459449}, {"Class": "BOMBAY", "Area": "154364", "total_measure": 0.9987097315546398, "share_within_group": 0.1928975886979309}, {"Class": "BOMBAY", "Area": "161579", "total_measure": 0.9986436749888588, "share_within_group": 0.1928848300836366}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1b141d0530a4b2ac74fa4e7f6d2165c4ad9c32d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_061574dcf9031d13 +-- problem_id: v2p_n10_7b062b86371c1399 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", "Area", + SUM(CAST("ShapeFactor4" AS REAL)) AS total_measure, + SUM(CAST("ShapeFactor4" AS REAL)) * 100.0 / SUM(SUM(CAST("ShapeFactor4" AS REAL))) OVER (PARTITION BY "Class") AS share_within_group +FROM "n10" +GROUP BY "Class", "Area" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fb04f9ae6f5ae014a54527451fbf74f665b8d65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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 \"Class\", \"Area\",\n SUM(CAST(\"ShapeFactor4\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor4\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor4\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Area\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Area\\\",\\n SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor4\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Area\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Class\", \"Area\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"SEKER\", \"Area\": \"38426\", \"total_measure\": 3.9943383035552915, \"share_within_group\": 0.19737585990225695}, {\"Class\": \"BOMBAY\", \"Area\": \"186003\", \"total_measure\": 0.9991475791034169, \"share_within_group\": 0.19298215755082965}, {\"Class\": \"BOMBAY\", \"Area\": \"132399\", \"total_measure\": 0.9990488528172804, \"share_within_group\": 0.19296308888459449}, {\"Class\": \"BOMBAY\", \"Area\": \"154364\", \"total_measure\": 0.9987097315546398, \"share_within_group\": 0.1928975886979309}, {\"Class\": \"BOMBAY\", \"Area\": \"161579\", \"total_measure\": 0.9986436749888588, \"share_within_group\": 0.1928848300836366}, {\"Class\": \"BOMBAY\", \"Area\": \"168684\", \"total_measure\": 0.9984041176678691, \"share_within_group\": 0.19283856035369024}, {\"Class\": \"BOMBAY\", \"Area\": \"148931\", \"total_measure\": 0.9983892988290833, \"share_within_group\": 0.19283569814240026}, {\"Class\": \"BOMBAY\", \"Area\": \"147218\", \"total_measure\": 0.9981316572340387, \"share_within_group\": 0.19278593549279133}, {\"Class\": \"BOMBAY\", \"Area\": \"183825\", \"total_measure\": 0.9981024393107647, \"share_within_group\": 0.19278029214441067}, {\"Class\": \"BOMBAY\", \"Area\": \"180012\", \"total_measure\": 0.9980726398509676, \"share_within_group\": 0.19277453647411155}, {\"Class\": \"BOMBAY\", \"Area\": \"145285\", \"total_measure\": 0.9980170255393909, \"share_within_group\": 0.19276379474780075}, {\"Class\": \"BOMBAY\", \"Area\": \"154727\", \"total_measure\": 0.9979749122802355, \"share_within_group\": 0.19275566070656075}, {\"Class\": \"BOMBAY\", \"Area\": \"133760\", \"total_measure\": 0.997897063790204, \"share_within_group\": 0.19274062451983262}, {\"Class\": \"BOMBAY\", \"Area\": \"142238\", \"total_measure\": 0.9978920129479146, \"share_within_group\": 0.19273964896580756}, {\"Class\": \"BOMBAY\", \"Area\": \"156138\", \"total_measure\": 0.9978413335386782, \"share_within_group\": 0.1927298604000917}, {\"Class\": \"BOMBAY\", \"Area\": \"191584\", \"total_measure\": 0.9978257711805268, \"share_within_group\": 0.1927268545804156}, {\"Class\": \"BOMBAY\", \"Area\": \"159402\", \"total_measure\": 0.9977638252268937, \"share_within_group\": 0.19271488991770339}, {\"Class\": \"BOMBAY\", \"Area\": \"183612\", \"total_measure\": 0.9977546018504821, \"share_within_group\": 0.19271310845206507}, {\"Class\": \"BOMBAY\", \"Area\": \"171217\", \"total_measure\": 0.9977491591665186, \"share_within_group\": 0.19271205721507456}, {\"Class\": \"BOMBAY\", \"Area\": \"190239\", \"total_measure\": 0.9977323013286369, \"share_within_group\": 0.19270880117763414}, {\"Class\": \"BOMBAY\", \"Area\": \"175965\", \"total_measure\": 0.9977099233659737, \"share_within_group\": 0.19270447894575704}, {\"Class\": \"BOMBAY\", \"Area\": \"168313\", \"total_measure\": 0.9976859241970348, \"share_within_group\": 0.19269984358307576}, {\"Class\": \"BOMBAY\", \"Area\": \"168736\", \"total_measure\": 0.9975786002630732, \"share_within_group\": 0.19267911430867635}, {\"Class\": \"BOMBAY\", \"Area\": \"160250\", \"total_measure\": 0.997526497241852, \"share_within_group\": 0.19266905077686133}, {\"Class\": \"BOMBAY\", \"Area\": \"126503\", \"total_measure\": 0.9975231552486991, \"share_within_group\": 0.1926684052815785}, {\"Class\": \"BOMBAY\", \"Area\": \"155088\", \"total_measure\": 0.9975172823139138, \"share_within_group\": 0.19266727094301858}, {\"Class\": \"BOMBAY\", \"Area\": \"139523\", \"total_measure\": 0.9974779072483981, \"share_within_group\": 0.19265966577511764}, {\"Class\": \"BOMBAY\", \"Area\": \"157916\", \"total_measure\": 0.9974647925974839, \"share_within_group\": 0.19265713272226148}, {\"Class\": \"BOMBAY\", \"Area\": \"142154\", \"total_measure\": 0.9974416200568668, \"share_within_group\": 0.1926526570201953}, {\"Class\": \"BOMBAY\", \"Area\": \"176492\", \"total_measure\": 0.9973235849855902, \"share_within_group\": 0.19262985892389997}, {\"Class\": \"BOMBAY\", \"Area\": \"138114\", \"total_measure\": 0.9973232569393772, \"share_within_group\": 0.19262979556282372}, {\"Class\": \"BOMBAY\", \"Area\": \"137358\", \"total_measure\": 0.9972703149357028, \"share_within_group\": 0.1926195699842327}, {\"Class\": \"BOMBAY\", \"Area\": \"169095\", \"total_measure\": 0.997216696142052, \"share_within_group\": 0.1926092136858235}, {\"Class\": \"BOMBAY\", \"Area\": \"169004\", \"total_measure\": 0.997195247513836, \"share_within_group\": 0.19260507095192095}, {\"Class\": \"BOMBAY\", \"Area\": \"147030\", \"total_measure\": 0.9971845240630196, \"share_within_group\": 0.19260299975171166}, {\"Class\": \"BOMBAY\", \"Area\": \"180948\", \"total_measure\": 0.9971531922643349, \"share_within_group\": 0.19259694811505998}, {\"Class\": \"BOMBAY\", \"Area\": \"144704\", \"total_measure\": 0.9971501700505921, \"share_within_group\": 0.1925963643841469}, {\"Class\": \"BOMBAY\", \"Area\": \"162493\", \"total_measure\": 0.9971425870163538, \"share_within_group\": 0.19259489974535013}, {\"Class\": \"BOMBAY\", \"Area\": \"184827\", \"total_measure\": 0.9970984053289916, \"share_within_group\": 0.19258636619382108}, {\"Class\": \"BOMBAY\", \"Area\": \"129409\", \"total_measure\": 0.9970757227739616, \"share_within_group\": 0.19258198513090305}, {\"Class\": \"BOMBAY\", \"Area\": \"163117\", \"total_measure\": 0.9970241147638125, \"share_within_group\": 0.19257201720889253}, {\"Class\": \"BOMBAY\", \"Area\": \"135222\", \"total_measure\": 0.9970227013033064, \"share_within_group\": 0.192571744203519}, {\"Class\": \"BOMBAY\", \"Area\": \"164698\", \"total_measure\": 0.9970137891446154, \"share_within_group\": 0.19257002284858743}, {\"Class\": \"BOMBAY\", \"Area\": \"159596\", \"total_measure\": 0.9969997922119584, \"share_within_group\": 0.19256731938583607}, {\"Class\": \"BOMBAY\", \"Area\": \"152533\", \"total_measure\": 0.9969865122066188, \"share_within_group\": 0.1925647543953018}, {\"Class\": \"BOMBAY\", \"Area\": \"157613\", \"total_measure\": 0.9969856653767942, \"share_within_group\": 0.19256459083283112}, {\"Class\": \"BOMBAY\", \"Area\": \"159247\", \"total_measure\": 0.9969524391884534, \"share_within_group\": 0.19255817330087957}, {\"Class\": \"BOMBAY\", \"Area\": \"174024\", \"total_measure\": 0.996914116676191, \"share_within_group\": 0.19255077143027122}, {\"Class\": \"BOMBAY\", \"Area\": \"158001\", \"total_measure\": 0.9969095600013755, \"share_within_group\": 0.19254989132311234}, {\"Class\": \"BOMBAY\", \"Area\": \"131488\", \"total_measure\": 0.9969091641615784, \"share_within_group\": 0.19254981486792222}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 65.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..314bbc1154188983905083a9a48088c359573311 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:37:07.639908+00:00", + "ended_at": "2026-05-19T15:37:18.838359+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_061574dcf9031d13", + "problem_id": "v2p_n10_7b062b86371c1399", + "dataset_id": "n10", + "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=Class, measure_col=ShapeFactor4.", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor4", + "item_col": "Area", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.997883, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_d/n10/sql/v2q_n10_061574dcf9031d13.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_061574dcf9031d13", + "api_calls": 0, + "input_tokens": 15507, + "cached_input_tokens": 14720, + "output_tokens": 551, + "total_tokens": 16058, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11127.48, + "sql_execution_elapsed_ms_total": 65.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ca71ae56a57562dd2d59190fe9c5975815baede --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:18.770920+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": 11127.48, "started_at": "2026-05-19T15:37:07.642184+00:00", "ended_at": "2026-05-19T15:37:18.769700+00:00", "prompt_metrics": {"chars": 11306, "bytes_utf8": 11306, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 577, "bytes_utf8": 577, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15507, "cached_input_tokens": 14720, "output_tokens": 551, "reasoning_output_tokens": 387}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Area\\\",\\n SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor4\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Area\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"Area\\\", and measure_col=\\\"ShapeFactor4\\\". Cast \\\"ShapeFactor4\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f7f9c9b76709fb9304d276381c14bd195ad88ac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_061574dcf9031d13", + "api_calls": 0, + "input_tokens": 15507, + "cached_input_tokens": 14720, + "output_tokens": 551, + "total_tokens": 16058, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11127.48, + "sql_execution_elapsed_ms_total": 65.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e6bdf7475836e84957673c396dbd08874d554f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11316, "bytes_utf8": 11316, "lines": 302, "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": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15509, "cached_input_tokens": 14720, "output_tokens": 850, "reasoning_output_tokens": 679}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9b27edcfb58d8ab19a035cb1851fb33c6ae2d139 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_071b6ef5e8850827", + "api_calls": 0, + "input_tokens": 15509, + "cached_input_tokens": 14720, + "output_tokens": 850, + "total_tokens": 16359, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18951.24, + "sql_execution_elapsed_ms_total": 66.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..74fe5da49244c85a96d14240d2dfff56e050b1c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:48.618386+00:00", + "ended_at": "2026-05-19T15:37:07.569665+00:00", + "elapsed_ms": 18951.24, + "prompt_metrics": { + "chars": 11316, + "bytes_utf8": 11316, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 994, + "bytes_utf8": 994, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 610, + "bytes_utf8": 610, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15509, + "cached_input_tokens": 14720, + "output_tokens": 850, + "reasoning_output_tokens": 679 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ab1e7b63774fb4dab334567066d67e6314e6858 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, measure_col=ShapeFactor3.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor3", + "item_col": "ShapeFactor4", + "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": 0.673293, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2171219b2297ce29db598670970647bc967cf4ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-ee00-7a71-92a5-816ea699dbfb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor4\\\",\\n SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor3\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor4\\\", and measure_col=\\\"ShapeFactor3\\\". Cast \\\"ShapeFactor3\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15509,"cached_input_tokens":14720,"output_tokens":850,"reasoning_output_tokens":679}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f6d36475b1428d9ea53c79bedf124513fd436cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor4\",\n SUM(CAST(\"ShapeFactor3\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor3\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor4\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor4\", and measure_col=\"ShapeFactor3\". Cast \"ShapeFactor3\" 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_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_071b6ef5e8850827/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..694513d1d4aef071b7adee484a8eeb3d1ac4dae9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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=Class, measure_col=ShapeFactor2. +Result preview: [{"Class": "DERMASON", "group_value": 7.662118003656603}, {"Class": "SEKER", "group_value": 5.149894924808287}, {"Class": "SIRA", "group_value": 4.435447180214106}, {"Class": "HOROZ", "group_value": 2.0196471100296804}, {"Class": "BARBUNYA", "group_value": 1.8428620652404655}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7094eec5bf4a509a0b92f04d66fb978b3cad63ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_08507f6db65252f6 +-- problem_id: v2p_n10_f81c52f71c31b288 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Class", SUM(CAST("ShapeFactor2" AS REAL)) AS "group_value" + FROM "n10" + GROUP BY "Class" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT "g"."Class", "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_d/n10/artifacts/v2q_n10_08507f6db65252f6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03bf71a76659a097c7057b30709bd9867dec6d3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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 \"Class\", SUM(CAST(\"ShapeFactor2\" AS REAL)) AS \"group_value\"\n FROM \"n10\"\n GROUP BY \"Class\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT \"g\".\"Class\", \"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 \\\"Class\\\", SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT \\\"g\\\".\\\"Class\\\", \\\"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\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"DERMASON\", \"group_value\": 7.662118003656603}, {\"Class\": \"SEKER\", \"group_value\": 5.149894924808287}, {\"Class\": \"SIRA\", \"group_value\": 4.435447180214106}, {\"Class\": \"HOROZ\", \"group_value\": 2.0196471100296804}, {\"Class\": \"BARBUNYA\", \"group_value\": 1.8428620652404655}, {\"Class\": \"CALI\", \"group_value\": 1.805050623227241}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c2c4ef38d90631e4025256dddb7f43e1d423f32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:11.739510+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": 18134.34, "started_at": "2026-05-19T15:47:53.604331+00:00", "ended_at": "2026-05-19T15:48:11.738707+00:00", "prompt_metrics": {"chars": 11461, "bytes_utf8": 11461, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 709, "bytes_utf8": 709, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 650, "reasoning_output_tokens": 444}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT \\\"g\\\".\\\"Class\\\", \\\"g\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS \\\"g\\\"\\nCROSS JOIN \\\"total\\\" AS \\\"t\\\"\\nWHERE \\\"g\\\".\\\"group_value\\\" > \\\"t\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"g\\\".\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor2\\\". Cast \\\"ShapeFactor2\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb70b5d1a414cfbe089b40dda4b477e4ffbb58fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10807, "bytes_utf8": 10807, "lines": 298, "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": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 14720, "output_tokens": 295, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e4127340135b9f7777b851e78c78e5c8eca0b9eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_08528769c33f3a20", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 14720, + "output_tokens": 295, + "total_tokens": 15656, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17035.08, + "sql_execution_elapsed_ms_total": 7.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9880aa99cbcce508270a43ca6a3acf19e6f9b22b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:26.088171+00:00", + "ended_at": "2026-05-19T15:31:43.123282+00:00", + "elapsed_ms": 17035.08, + "prompt_metrics": { + "chars": 10807, + "bytes_utf8": 10807, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1299, + "bytes_utf8": 1299, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15361, + "cached_input_tokens": 14720, + "output_tokens": 295, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4bfc1edb902c2ddbbfa3bea40f79576adbec8356 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Class", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f277ab740444889d09c00b413b9e6dd694417a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-021a-79f1-9e04-900c79b3eeea"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15996. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984425, Requested 15996. Please try again in 12ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped-count template with \\\"Class\\\" as the category column to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15361,"cached_input_tokens":14720,"output_tokens":295,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98f9c70e3c3e12525d430b662a1f3afbb4e86ee6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Class\", COUNT(*) AS \"row_count\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"row_count\" DESC;","notes":"Uses the grouped-count template with \"Class\" as the category column to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08528769c33f3a20/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c839bbd29cbf75ccb1d9d0b52ad349c5d2618a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10994, "bytes_utf8": 10994, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 411, "bytes_utf8": 411, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15400, "cached_input_tokens": 14720, "output_tokens": 292, "reasoning_output_tokens": 185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18b65f143115141122bfd54d8eaffce13e4c8230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0c66c532a19e6f45", + "api_calls": 0, + "input_tokens": 15400, + "cached_input_tokens": 14720, + "output_tokens": 292, + "total_tokens": 15692, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8549.51, + "sql_execution_elapsed_ms_total": 64.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..41554308158e6b40d57327ff776a5aed4497ad2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:35.357093+00:00", + "ended_at": "2026-05-19T15:41:43.906642+00:00", + "elapsed_ms": 8549.51, + "prompt_metrics": { + "chars": 10994, + "bytes_utf8": 10994, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 770, + "bytes_utf8": 770, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 411, + "bytes_utf8": 411, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15400, + "cached_input_tokens": 14720, + "output_tokens": 292, + "reasoning_output_tokens": 185 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a300388311ff57c62da7c254d0fd98cb3d3d7dd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=MinorAxisLength.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "MinorAxisLength", + "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": 217.031741, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cd06fd96dc88de48655d8f3edc8de583a5b9b85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-4e1d-7301-b53e-349678097975"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Class\\\",\\n AVG(CAST(\\\"MinorAxisLength\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"MinorAxisLength\\\". Casted \\\"MinorAxisLength\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15400,"cached_input_tokens":14720,"output_tokens":292,"reasoning_output_tokens":185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7e38c5d362fba8c9b6604bed7cd50d5f5d25fde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"Class\",\n AVG(CAST(\"MinorAxisLength\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"Class\" and measure_col=\"MinorAxisLength\". Casted \"MinorAxisLength\" 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_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0c66c532a19e6f45/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce2aaa6c6fb870f1e67e56cdfd76cf729e8307a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "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": 332, "bytes_utf8": 332, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 12032, "output_tokens": 205, "reasoning_output_tokens": 112}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d21272a2b27ba1002bda9829d852edb8ec77a27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0d747348bf807b3b", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 12032, + "output_tokens": 205, + "total_tokens": 15604, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8672.09, + "sql_execution_elapsed_ms_total": 5.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0935ce67be7142c4a0a6baa91722ad5da4e32ea2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/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": "2026-05-19T16:01:19.407334+00:00", + "ended_at": "2026-05-19T16:01:28.079459+00:00", + "elapsed_ms": 8672.09, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 685, + "bytes_utf8": 685, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 332, + "bytes_utf8": 332, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15399, + "cached_input_tokens": 12032, + "output_tokens": 205, + "reasoning_output_tokens": 112 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..621ce33d4ce859cff35826abd2921090ec177e4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.916869, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f318c42dd1b1e0679ea393bc4072d0f2280eeefd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-5f2e-7d83-9f30-d554bed5ee79"} +{"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 \\\"Class\\\",\\n COUNT(*) AS support\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 12;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k=12 to return the least-supported classes first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15399,"cached_input_tokens":12032,"output_tokens":205,"reasoning_output_tokens":112}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5872634f63ae13481d88e63b2b69a7e6b192f7ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS support\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY support ASC, \"Class\"\nLIMIT 12;","notes":"Uses the Low-Support Group Count template with group_col bound to \"Class\" and top_k=12 to return the least-supported classes first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0d747348bf807b3b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a4a4c6986443fd77ee644a292023ce0ed3f287c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/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=MinorAxisLength. +Result preview: [{"empirical_cdf_at_threshold": 0.7499816325031224}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b6b348ce73ab11ad9b137924b3413bab53cbd17c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_0eef476a2da45dcc +-- problem_id: v2p_n10_ec8487e76928d279 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("MinorAxisLength" AS REAL) <= 217.031741 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n10"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9cf876f5acebbcd0f5338d45895f2518b0e717d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"MinorAxisLength\" AS REAL) <= 217.031741 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n10\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"MinorAxisLength\\\" AS REAL) <= 217.031741 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499816325031224}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2bc2cc5574f25b790f54d4a57851258802fb1383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:00:30.267881+00:00", + "ended_at": "2026-05-19T16:00:40.868631+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_0eef476a2da45dcc", + "problem_id": "v2p_n10_ec8487e76928d279", + "dataset_id": "n10", + "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=MinorAxisLength.", + "bindings": { + "measure_col": "MinorAxisLength", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 217.031741, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=115" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_0eef476a2da45dcc.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0eef476a2da45dcc", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 12288, + "output_tokens": 379, + "total_tokens": 15760, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10590.49, + "sql_execution_elapsed_ms_total": 5.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f1431e4ecafbb2598ba61bdedcbd7ca059d5b66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:40.861315+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": 10590.49, "started_at": "2026-05-19T16:00:30.269963+00:00", "ended_at": "2026-05-19T16:00:40.860481+00:00", "prompt_metrics": {"chars": 10855, "bytes_utf8": 10855, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15381, "cached_input_tokens": 12288, "output_tokens": 379, "reasoning_output_tokens": 267}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"MinorAxisLength\\\" AS REAL) <= 217.031741 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"MinorAxisLength\\\" and measure_threshold fixed at 217.031741. CAST to REAL is used because the column is stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6b854c66040203eafe5f65ba2985d6bcd527246a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_0eef476a2da45dcc", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 12288, + "output_tokens": 379, + "total_tokens": 15760, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10590.49, + "sql_execution_elapsed_ms_total": 5.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..731f306b6a5fe55cdff5517d6a20a930a0d4b9b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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=Class, condition_col=Class. +Result preview: [{"Class": "DERMASON", "condition_rate": 1.0}, {"Class": "SIRA", "condition_rate": 0.0}, {"Class": "SEKER", "condition_rate": 0.0}, {"Class": "HOROZ", "condition_rate": 0.0}, {"Class": "CALI", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf47ab684d7a601fd995e66632e60d001d7a989a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_109fd89445e7e40d +-- problem_id: v2p_n10_7bd1e709fd68ea9b +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", + AVG(CASE WHEN "Class" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate +FROM "n10" +GROUP BY "Class" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f5c491fc7139384c726f7a209c6a334ad726a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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 \"Class\",\n AVG(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Class\", \"condition_rate\"], \"rows\": [{\"Class\": \"DERMASON\", \"condition_rate\": 1.0}, {\"Class\": \"SIRA\", \"condition_rate\": 0.0}, {\"Class\": \"SEKER\", \"condition_rate\": 0.0}, {\"Class\": \"HOROZ\", \"condition_rate\": 0.0}, {\"Class\": \"CALI\", \"condition_rate\": 0.0}, {\"Class\": \"BOMBAY\", \"condition_rate\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..90fa7c60a0f1df69b648a483862044f3f7cc1f76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:57:12.524407+00:00", + "ended_at": "2026-05-19T15:57:26.052830+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_109fd89445e7e40d", + "problem_id": "v2p_n10_7bd1e709fd68ea9b", + "dataset_id": "n10", + "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=Class, condition_col=Class.", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_109fd89445e7e40d.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_109fd89445e7e40d", + "api_calls": 0, + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 278, + "total_tokens": 15731, + "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": 12507.45, + "sql_execution_elapsed_ms_total": 12.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9da6341a212b5b197748f51881b6d0a8c038731 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:15.884568+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": 3357.09, "started_at": "2026-05-19T15:57:12.526725+00:00", "ended_at": "2026-05-19T15:57:15.883841+00:00", "prompt_metrics": {"chars": 11157, "bytes_utf8": 11157, "lines": 303, "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\":\"019e40f4-9aec-74a1-b5f0-7a1919d95dff\"}\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": "2026-05-19T15:57:26.037348+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": 9150.36, "started_at": "2026-05-19T15:57:16.885393+00:00", "ended_at": "2026-05-19T15:57:26.035789+00:00", "prompt_metrics": {"chars": 11157, "bytes_utf8": 11157, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 504, "bytes_utf8": 504, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15453, "cached_input_tokens": 14720, "output_tokens": 278, "reasoning_output_tokens": 143}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\" using condition_value='DERMASON'. Because the grouping column and condition column are the same, the result is 1.0 for the DERMASON group and 0.0 for all other classes.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1da07c32359eb3ae7f6a08508e4b02eb6ec0bfe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_109fd89445e7e40d", + "api_calls": 0, + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 278, + "total_tokens": 15731, + "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": 12507.45, + "sql_execution_elapsed_ms_total": 12.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b3ccf19bbc92cefa7725ce5fd7feff3a179d7a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11459, "bytes_utf8": 11459, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 508, "reasoning_output_tokens": 338}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..493ce31d5d49ee51b5dfca54e55a89b824f9f3d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_12ffd1dc8ca49b41", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 508, + "total_tokens": 16034, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10949.74, + "sql_execution_elapsed_ms_total": 13.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f7a44db7fa2c15805231acbce0e493f9247007b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:19.384095+00:00", + "ended_at": "2026-05-19T15:47:30.333880+00:00", + "elapsed_ms": 10949.74, + "prompt_metrics": { + "chars": 11459, + "bytes_utf8": 11459, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1007, + "bytes_utf8": 1007, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 636, + "bytes_utf8": 636, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 508, + "reasoning_output_tokens": 338 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4052d461fdcb4402aa30c669ce2ecc1e0762b2ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=ShapeFactor1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor1", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff2183fa29a38bf0bdd08c10c9b57220ba12dd10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-8e58-7882-9ea6-ae9a727489d4"} +{"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 \\\"Class\\\", SUM(CAST(\\\"ShapeFactor1\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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 provided Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor1\\\". CAST(\\\"ShapeFactor1\\\" AS REAL) is used because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":508,"reasoning_output_tokens":338}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17a4a95392fdf659a095222c137aa031042db786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"ShapeFactor1\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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 provided Relative-to-Total Extreme Threshold template with group_col=\"Class\" and measure_col=\"ShapeFactor1\". CAST(\"ShapeFactor1\" AS REAL) is used because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_12ffd1dc8ca49b41/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9e66b6aecf57398e6f6c5e115328c4469f1b98f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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=Class, measure_col=roundness. +Result preview: [{"Class": "BOMBAY", "Compactness": "0.87771770419345718", "total_measure": 0.9501044964310524, "share_within_group": 0.2105598812955587}, {"Class": "BOMBAY", "Compactness": "0.84793990373189243", "total_measure": 0.94058768780021, "share_within_group": 0.20845078897660854}, {"Class": "BOMBAY", "Compactness": "0.84332253011919156", "total_measure": 0.9323029798927752, "share_within_group": 0.20661475186689}, {"Class": "BOMBAY", "Compactness": "0.82324744010809525", "total_measure": 0.9268819953159733, "share_within_group": 0.20541336625795523}, {"Class": "BOMBAY", "Compactness": "0.86692640839595525", "total_measure": 0.9264273336746671, "share_within_group": 0.20531260523473868}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..98188e4c2809564c6d62a32d10bac83560c68bcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_139e0517993590f7 +-- problem_id: v2p_n10_d4b4758968bc472d +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", "Compactness", + SUM(CAST("roundness" AS REAL)) AS total_measure, + SUM(CAST("roundness" AS REAL)) * 100.0 / SUM(SUM(CAST("roundness" AS REAL))) OVER (PARTITION BY "Class") AS share_within_group +FROM "n10" +GROUP BY "Class", "Compactness" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f4dca1b7ef943c820da9c110248ae59bd5648e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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 \"Class\", \"Compactness\",\n SUM(CAST(\"roundness\" AS REAL)) AS total_measure,\n SUM(CAST(\"roundness\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"roundness\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Compactness\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Compactness\\\",\\n SUM(CAST(\\\"roundness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"roundness\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"roundness\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Compactness\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Class\", \"Compactness\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"Compactness\": \"0.87771770419345718\", \"total_measure\": 0.9501044964310524, \"share_within_group\": 0.2105598812955587}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84793990373189243\", \"total_measure\": 0.94058768780021, \"share_within_group\": 0.20845078897660854}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84332253011919156\", \"total_measure\": 0.9323029798927752, \"share_within_group\": 0.20661475186689}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82324744010809525\", \"total_measure\": 0.9268819953159733, \"share_within_group\": 0.20541336625795523}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.86692640839595525\", \"total_measure\": 0.9264273336746671, \"share_within_group\": 0.20531260523473868}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83636376852660266\", \"total_measure\": 0.9230087218909981, \"share_within_group\": 0.20455498068494563}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.88998185565971966\", \"total_measure\": 0.9225136551891111, \"share_within_group\": 0.20444526518904566}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.85949993663025703\", \"total_measure\": 0.9183714852542653, \"share_within_group\": 0.20352728741600765}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82331553874804353\", \"total_measure\": 0.9180153515184903, \"share_within_group\": 0.20344836191106394}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.90631504182936806\", \"total_measure\": 0.9177095970112145, \"share_within_group\": 0.2033806013299916}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84688482797337294\", \"total_measure\": 0.9176093260917726, \"share_within_group\": 0.2033583795291535}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84676983812161721\", \"total_measure\": 0.9156496076390817, \"share_within_group\": 0.20292407142270696}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.86781603253802131\", \"total_measure\": 0.9154097341682548, \"share_within_group\": 0.20287091123902928}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82864850924093125\", \"total_measure\": 0.9138875643394095, \"share_within_group\": 0.20253357160988608}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83976084342107282\", \"total_measure\": 0.9126822439491582, \"share_within_group\": 0.20226645139390168}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.80907954043759533\", \"total_measure\": 0.9114855518369783, \"share_within_group\": 0.20200124335622324}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83093359534069777\", \"total_measure\": 0.9086724011528641, \"share_within_group\": 0.20137779964414879}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84722527523659341\", \"total_measure\": 0.9086656259908936, \"share_within_group\": 0.20137629814899155}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84499242222275595\", \"total_measure\": 0.9084047160381366, \"share_within_group\": 0.20131847591060859}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.81158066243315374\", \"total_measure\": 0.9082300074001554, \"share_within_group\": 0.20127975740099957}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.88004445130669118\", \"total_measure\": 0.907724010202026, \"share_within_group\": 0.2011676195147205}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.81096948427114113\", \"total_measure\": 0.9074598849389858, \"share_within_group\": 0.20110908470697905}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.85892282416888233\", \"total_measure\": 0.9068736646699147, \"share_within_group\": 0.20097916797599596}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83491624632460559\", \"total_measure\": 0.906822498467701, \"share_within_group\": 0.20096782864489615}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82349291586847773\", \"total_measure\": 0.9067869240358513, \"share_within_group\": 0.20095994472457412}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.81489359034880804\", \"total_measure\": 0.9066790770193002, \"share_within_group\": 0.200936043927253}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.845146513569627\", \"total_measure\": 0.9066160091833546, \"share_within_group\": 0.2009220669846113}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82118909802235718\", \"total_measure\": 0.9064356255634314, \"share_within_group\": 0.20088209079910604}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82912269758721668\", \"total_measure\": 0.9060430458528773, \"share_within_group\": 0.20079508822458522}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82600054120953637\", \"total_measure\": 0.9056913006899612, \"share_within_group\": 0.20071713530463997}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.89551880445304399\", \"total_measure\": 0.9039471510514187, \"share_within_group\": 0.20033060104211126}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83807656491379168\", \"total_measure\": 0.9031499003886914, \"share_within_group\": 0.20015391626108217}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.81975999671125732\", \"total_measure\": 0.9029012395390229, \"share_within_group\": 0.20009880863956714}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.858885946528408\", \"total_measure\": 0.9028736626582253, \"share_within_group\": 0.20009269711734085}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.8435409563001609\", \"total_measure\": 0.9028085848572034, \"share_within_group\": 0.20007827473105638}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83846614528527663\", \"total_measure\": 0.9019419034887932, \"share_within_group\": 0.19988620288344483}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.80410285920944913\", \"total_measure\": 0.9019138938019432, \"share_within_group\": 0.19987999544377857}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84273820941958943\", \"total_measure\": 0.9018781889390698, \"share_within_group\": 0.19987208261764572}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.83275682683354846\", \"total_measure\": 0.9016556153779528, \"share_within_group\": 0.19982275639849365}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.85061107084701659\", \"total_measure\": 0.9010144670874306, \"share_within_group\": 0.1996806666510476}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82439012895913821\", \"total_measure\": 0.9009449649681948, \"share_within_group\": 0.19966526375796476}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84062558821189726\", \"total_measure\": 0.9003803473530615, \"share_within_group\": 0.19954013455537029}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.84593355240478818\", \"total_measure\": 0.9002974529195906, \"share_within_group\": 0.19952176368970523}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82457074365888849\", \"total_measure\": 0.9000294194962325, \"share_within_group\": 0.19946236276484114}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.80335131756475719\", \"total_measure\": 0.8997689878782074, \"share_within_group\": 0.199404646533855}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82647050629718477\", \"total_measure\": 0.899758534328615, \"share_within_group\": 0.19940232984324935}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.7941801374421642\", \"total_measure\": 0.8997008233402959, \"share_within_group\": 0.19938954007233933}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82479437215772389\", \"total_measure\": 0.8996135402798198, \"share_within_group\": 0.19937019660967603}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.82837489108338713\", \"total_measure\": 0.8996004432953446, \"share_within_group\": 0.1993672940873674}, {\"Class\": \"BOMBAY\", \"Compactness\": \"0.80872393807049792\", \"total_measure\": 0.8990538646145345, \"share_within_group\": 0.199246162630162}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 69.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..66f7812e0d586252c8383563c675a857b2323a8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:34:40.477946+00:00", + "ended_at": "2026-05-19T15:34:53.600576+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_139e0517993590f7", + "problem_id": "v2p_n10_d4b4758968bc472d", + "dataset_id": "n10", + "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=Class, measure_col=roundness.", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "item_col": "Compactness", + "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": 0.905212, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_139e0517993590f7.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_139e0517993590f7", + "api_calls": 0, + "input_tokens": 15506, + "cached_input_tokens": 12032, + "output_tokens": 472, + "total_tokens": 15978, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13048.11, + "sql_execution_elapsed_ms_total": 69.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de3d3dbcd7addabd8cd71ee65ce914e5f168f7ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:53.529643+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": 13048.11, "started_at": "2026-05-19T15:34:40.480281+00:00", "ended_at": "2026-05-19T15:34:53.528423+00:00", "prompt_metrics": {"chars": 11309, "bytes_utf8": 11309, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 568, "bytes_utf8": 568, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15506, "cached_input_tokens": 12032, "output_tokens": 472, "reasoning_output_tokens": 316}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Compactness\\\",\\n SUM(CAST(\\\"roundness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"roundness\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"roundness\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Compactness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"Class\\\", item_col=\\\"Compactness\\\", and measure_col=\\\"roundness\\\". Cast \\\"roundness\\\" from TEXT to REAL for SQLite-compatible aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..51cd20e85831eeaf608a94da99e1f97532a164b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_139e0517993590f7", + "api_calls": 0, + "input_tokens": 15506, + "cached_input_tokens": 12032, + "output_tokens": 472, + "total_tokens": 15978, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13048.11, + "sql_execution_elapsed_ms_total": 69.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81cabe76c96c7115e7a446f2c3b0e1d2b3c1623f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/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": "2026-05-19T16:04:06.187314+00:00", + "ended_at": "2026-05-19T16:04:09.202398+00:00", + "elapsed_ms": 3015.06, + "returncode": 1, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..20b4f011056ea6da41c10d086f4a283876002298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:10.204361+00:00", + "ended_at": "2026-05-19T16:04:13.846439+00:00", + "elapsed_ms": 3642.04, + "returncode": 1, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64ff4d96012e9afee81994f17cfe34aa1b1302a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=EquivDiameter.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 259.029754, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..64ff4d96012e9afee81994f17cfe34aa1b1302a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=EquivDiameter.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 259.029754, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a269b72e10019884dd7fdb6abc29471bec74a022 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-ead3-77b1-9d9a-6cd53b534312"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc762fd243e919abcaf53c39b355674a5ee9c891 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-ead3-77b1-9d9a-6cd53b534312"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f13143015df3720766b96b21e17d66197f1e7c5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-fa74-76b3-9ca1-2bea047d7e95"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b8671dd1775a18d544f0089b00647f1ee17415a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-fa74-76b3-9ca1-2bea047d7e95"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_160aabb41117b590/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e18b6b24911c433fef5156d96fc1af6a862bc00d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10991, "bytes_utf8": 10991, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15402, "cached_input_tokens": 14720, "output_tokens": 247, "reasoning_output_tokens": 143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ead76123eb13f310d65f3e0f5dec547e7aa5be8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_1813733f0f791980", + "api_calls": 0, + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 247, + "total_tokens": 15649, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7798.94, + "sql_execution_elapsed_ms_total": 33.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..118687cfbdf7afc16f8b0ab51c10db625eaf239a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/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": "2026-05-19T15:42:05.874262+00:00", + "ended_at": "2026-05-19T15:42:13.673228+00:00", + "elapsed_ms": 7798.94, + "prompt_metrics": { + "chars": 10991, + "bytes_utf8": 10991, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 767, + "bytes_utf8": 767, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 247, + "reasoning_output_tokens": 143 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..62ee7559c1058bf567f90bf49848bccf40e5554e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=AspectRation.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34f162ce613eeb0c0a6095d985d3172906f87639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-c52a-7b33-8ded-989637211abc"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"AspectRation\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"AspectRation\\\". Cast \\\"AspectRation\\\" from TEXT to REAL for numeric averaging in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15402,"cached_input_tokens":14720,"output_tokens":247,"reasoning_output_tokens":143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83bb52407e33332955f1e1417eccc80725a931ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"AspectRation\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;","notes":"Applied the provided Window Partition Average template with group_col=\"Class\" and measure_col=\"AspectRation\". Cast \"AspectRation\" from TEXT to REAL for numeric averaging in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1813733f0f791980/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c73543ba37abb13963a54d77c3019e322b2af9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11313, "bytes_utf8": 11313, "lines": 302, "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": 577, "bytes_utf8": 577, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15508, "cached_input_tokens": 14720, "output_tokens": 1196, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..392b42761a17a71deecae1f7f77ab89eec44673e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_1b92aed133065780", + "api_calls": 0, + "input_tokens": 15508, + "cached_input_tokens": 14720, + "output_tokens": 1196, + "total_tokens": 16704, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21318.23, + "sql_execution_elapsed_ms_total": 44.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e60322bfc0b4772121ef939167c7b91b3f750df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/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": "2026-05-19T15:37:18.841580+00:00", + "ended_at": "2026-05-19T15:37:40.159843+00:00", + "elapsed_ms": 21318.23, + "prompt_metrics": { + "chars": 11313, + "bytes_utf8": 11313, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 959, + "bytes_utf8": 959, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 577, + "bytes_utf8": 577, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15508, + "cached_input_tokens": 14720, + "output_tokens": 1196, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02eb08d52c92be3e2944e08358bf13dbee99f36f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=ShapeFactor4.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor4", + "item_col": "Area", + "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": 0.997393, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..12929a8d14c08297738bf48afca6ae898e2947dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-6415-71f0-9101-049b76728ae7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Area\\\",\\n SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor4\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Area\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Filled the Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"Area\\\", and measure_col=\\\"ShapeFactor4\\\". CAST to REAL is used because the schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15508,"cached_input_tokens":14720,"output_tokens":1196,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..651b1d4e4ead3d35c5a9fd13151a471f3149b26b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"Area\",\n SUM(CAST(\"ShapeFactor4\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor4\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor4\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Area\"\nORDER BY share_within_group DESC;","notes":"Filled the Within-Group Share of Total template with group_col=\"Class\", item_col=\"Area\", and measure_col=\"ShapeFactor4\". CAST to REAL is used because the schema stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1b92aed133065780/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c0beb1a22b51af4e189846c2593af0086359c5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10979, "bytes_utf8": 10979, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 395, "bytes_utf8": 395, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15397, "cached_input_tokens": 14720, "output_tokens": 258, "reasoning_output_tokens": 157}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1af250b9dc153e3f9686290fd2866ee1129626c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_1c4eb77dfb20c34f", + "api_calls": 0, + "input_tokens": 15397, + "cached_input_tokens": 14720, + "output_tokens": 258, + "total_tokens": 15655, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7998.52, + "sql_execution_elapsed_ms_total": 30.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e2194940d8495b17e07e277286bf962b90bb4b51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:42.722268+00:00", + "ended_at": "2026-05-19T15:40:50.720809+00:00", + "elapsed_ms": 7998.52, + "prompt_metrics": { + "chars": 10979, + "bytes_utf8": 10979, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 753, + "bytes_utf8": 753, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 395, + "bytes_utf8": 395, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15397, + "cached_input_tokens": 14720, + "output_tokens": 258, + "reasoning_output_tokens": 157 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69118e8559b4dfe9d14fc816dcde026c2c5bbe82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=Perimeter.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "Perimeter", + "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": 977.213, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..160e32bf0ae9e30cb8f3ac92e32669da7eae248c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-8075-7c31-b475-0b6f7e3b8bf3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"Perimeter\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the required Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"Perimeter\\\". Cast \\\"Perimeter\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15397,"cached_input_tokens":14720,"output_tokens":258,"reasoning_output_tokens":157}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e93193672622dc4b2e4f995cd39a1b56624d7b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"Perimeter\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;","notes":"Applied the required Window Partition Average template with group_col=\"Class\" and measure_col=\"Perimeter\". Cast \"Perimeter\" 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_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1c4eb77dfb20c34f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4884754ee064abfb958da07c87ba110e5f20520a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10986, "bytes_utf8": 10986, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15402, "cached_input_tokens": 12032, "output_tokens": 292, "reasoning_output_tokens": 181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34894dcbf7f0ea4cd8afaada40be3eed561af560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_1e47e8f700d5b037", + "api_calls": 0, + "input_tokens": 15402, + "cached_input_tokens": 12032, + "output_tokens": 292, + "total_tokens": 15694, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8062.27, + "sql_execution_elapsed_ms_total": 61.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b265f8a781c226eebc219fb0e270dd082601d454 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/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": "2026-05-19T15:42:26.804434+00:00", + "ended_at": "2026-05-19T15:42:34.866744+00:00", + "elapsed_ms": 8062.27, + "prompt_metrics": { + "chars": 10986, + "bytes_utf8": 10986, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 775, + "bytes_utf8": 775, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15402, + "cached_input_tokens": 12032, + "output_tokens": 292, + "reasoning_output_tokens": 181 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba54141159176ed8c882e934a104547966d169f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=Eccentricity.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a059adf5dbea4b5bdb443912fe4561b9d57f3bde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-16e9-7d31-93eb-2662709c0fa5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"Eccentricity\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS \\\"avg_measure\\\"\\nFROM \\\"n10\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the required Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"Eccentricity\\\". Cast \\\"Eccentricity\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15402,"cached_input_tokens":12032,"output_tokens":292,"reasoning_output_tokens":181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c71d9637bfe67da518b7c08dc346c26cdc49335 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"Eccentricity\" AS REAL)) OVER (PARTITION BY \"Class\") AS \"avg_measure\"\nFROM \"n10\"\nORDER BY \"avg_measure\" DESC;","notes":"Used the required Window Partition Average template with group_col=\"Class\" and measure_col=\"Eccentricity\". Cast \"Eccentricity\" 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_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1e47e8f700d5b037/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0efb2aceacc75c71827073c6abdaf0c69c450cb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11082, "bytes_utf8": 11082, "lines": 298, "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": 596, "bytes_utf8": 596, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 14720, "output_tokens": 484, "reasoning_output_tokens": 315}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f732af8f6b77cfcbc796b718e80ff45cde53bede --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_1fe7ac2f56734367", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 484, + "total_tokens": 15929, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10864.6, + "sql_execution_elapsed_ms_total": 58.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7fba5432df0a59677c4a6128c9b5ce596b9b683f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:15.261748+00:00", + "ended_at": "2026-05-19T15:44:26.126379+00:00", + "elapsed_ms": 10864.6, + "prompt_metrics": { + "chars": 11082, + "bytes_utf8": 11082, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 980, + "bytes_utf8": 980, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 596, + "bytes_utf8": 596, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 484, + "reasoning_output_tokens": 315 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbeb2ee51581ebac7a87e01e41a227e115604a56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor3.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ShapeFactor3", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5be64f1d919b02c9ecbcee1f2910ecb23e5d4b18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-be81-7063-b47a-5d415dcf31d8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"ShapeFactor3\\\" AS REAL) AS \\\"ShapeFactor3\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ShapeFactor3\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"ShapeFactor3\\\" IS NOT NULL\\n)\\nSELECT \\\"ShapeFactor3\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"ShapeFactor3\\\" DESC;\",\"notes\":\"Used the provided Quantile Tail Slice template with measure_col bound to \\\"ShapeFactor3\\\" and num_tiles fixed at 10. Cast to REAL because the schema stores numeric values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15445,"cached_input_tokens":14720,"output_tokens":484,"reasoning_output_tokens":315}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..27de14fbb2f3c46d4b6997a23656ec45ca0d49b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"ShapeFactor3\" AS REAL) AS \"ShapeFactor3\",\n NTILE(10) OVER (ORDER BY CAST(\"ShapeFactor3\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n10\"\n WHERE \"ShapeFactor3\" IS NOT NULL\n)\nSELECT \"ShapeFactor3\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"ShapeFactor3\" DESC;","notes":"Used the provided Quantile Tail Slice template with measure_col bound to \"ShapeFactor3\" and num_tiles fixed at 10. Cast to REAL because the schema stores numeric values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1fe7ac2f56734367/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..10eb3da7c64e0ef11ce25a3e6fe44bffbfddbc30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:02:58.294079+00:00", + "ended_at": "2026-05-19T16:03:05.870498+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_21302bb4a801d3aa", + "problem_id": "v2p_n10_335a15e9e633366b", + "dataset_id": "n10", + "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=Class.", + "bindings": { + "group_col": "Class", + "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": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b927d444262e49e6c65fa550d2374992b799c7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:01.671323+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": 3374.48, "started_at": "2026-05-19T16:02:58.296154+00:00", "ended_at": "2026-05-19T16:03:01.670662+00:00", "prompt_metrics": {"chars": 10888, "bytes_utf8": 10888, "lines": 298, "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-e198-7552-8e76-7467b3fd6a41\"}\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": "2026-05-19T16:03:05.870382+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": 3196.63, "started_at": "2026-05-19T16:03:02.672769+00:00", "ended_at": "2026-05-19T16:03:05.869442+00:00", "prompt_metrics": {"chars": 10888, "bytes_utf8": 10888, "lines": 298, "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-f292-7662-b17a-c878f729f7c7\"}\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_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..16255754d7b38e07828f7510b9774dc04c2dd276 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "DERMASON", "support": 3546, "support_share": 0.2605245757108221, "support_rank": 1}, {"value_label": "SIRA", "support": 2636, "support_share": 0.19366688707662919, "support_rank": 2}, {"value_label": "SEKER", "support": 2027, "support_share": 0.148923664682977, "support_rank": 3}, {"value_label": "HOROZ", "support": 1928, "support_share": 0.1416501359194769, "support_rank": 4}, {"value_label": "CALI", "support": 1630, "support_share": 0.11975607964146646, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..25684b25275d87c62cae8fb0db0ee8ea839b38b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_2227e54a5a6f8ceb +-- problem_id: v2p_n10_700dbb973c58f1a2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Class" AS value_label, COUNT(*) AS support + FROM "n10" + GROUP BY "Class" +) +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_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7d8e2d831af5500c60453f72646a11d8c635af52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/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_d\n-- sql_source_dataset_id: n10\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_n10_2227e54a5a6f8ceb\n-- problem_id: v2p_n10_700dbb973c58f1a2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Class\" AS value_label, COUNT(*) AS support\n FROM \"n10\"\n GROUP BY \"Class\"\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_d\\n-- sql_source_dataset_id: n10\\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_n10_2227e54a5a6f8ceb\\n-- problem_id: v2p_n10_700dbb973c58f1a2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Class\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\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\": \"DERMASON\", \"support\": 3546, \"support_share\": 0.2605245757108221, \"support_rank\": 1}, {\"value_label\": \"SIRA\", \"support\": 2636, \"support_share\": 0.19366688707662919, \"support_rank\": 2}, {\"value_label\": \"SEKER\", \"support\": 2027, \"support_share\": 0.148923664682977, \"support_rank\": 3}, {\"value_label\": \"HOROZ\", \"support\": 1928, \"support_share\": 0.1416501359194769, \"support_rank\": 4}, {\"value_label\": \"CALI\", \"support\": 1630, \"support_share\": 0.11975607964146646, \"support_rank\": 5}, {\"value_label\": \"BARBUNYA\", \"support\": 1322, \"support_share\": 0.09712732348835501, \"support_rank\": 6}, {\"value_label\": \"BOMBAY\", \"support\": 522, \"support_share\": 0.03835133348027331, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..acc2bba46b1e4d922b749d8455f45803a10df5e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:05:40.839856+00:00", + "ended_at": "2026-05-19T16:05:40.845061+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_2227e54a5a6f8ceb", + "problem_id": "v2p_n10_700dbb973c58f1a2", + "dataset_id": "n10", + "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=Class.", + "bindings": { + "group_col": "Class" + }, + "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_d/n10/sql/v2q_n10_2227e54a5a6f8ceb.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_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2227e54a5a6f8ceb/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_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e95eb4a861a11b5c6c2480480f0279d81d76d88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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=Class, measure_col=AspectRation. +Result preview: [{"Class": "DERMASON", "total_measure": 5285.209897300189}, {"Class": "SIRA", "total_measure": 4138.737822391944}, {"Class": "HOROZ", "total_measure": 3906.3576204805577}, {"Class": "CALI", "total_measure": 2825.8707431053163}, {"Class": "SEKER", "total_measure": 2523.983664343942}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e020c9c894ac0be9c1af79411824c64fdc4747de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_22ff3e2ec890c58f +-- problem_id: v2p_n10_e2c715c9a4bf3abc +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("AspectRation" AS REAL)) AS "total_measure" +FROM "n10" +GROUP BY "Class" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad5a86840c21bbba7181b0495aaadbb0a63c1907 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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 \"Class\", SUM(CAST(\"AspectRation\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"AspectRation\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 5285.209897300189}, {\"Class\": \"SIRA\", \"total_measure\": 4138.737822391944}, {\"Class\": \"HOROZ\", \"total_measure\": 3906.3576204805577}, {\"Class\": \"CALI\", \"total_measure\": 2825.8707431053163}, {\"Class\": \"SEKER\", \"total_measure\": 2523.983664343942}, {\"Class\": \"BARBUNYA\", \"total_measure\": 2041.6897498395758}, {\"Class\": \"BOMBAY\", \"total_measure\": 827.6570789445943}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c1a3cc67843ae57aff9a5168002f91712c97f25e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:29:37.837689+00:00", + "ended_at": "2026-05-19T15:29:55.192846+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_22ff3e2ec890c58f", + "problem_id": "v2p_n10_e2c715c9a4bf3abc", + "dataset_id": "n10", + "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=Class, measure_col=AspectRation.", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "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": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_22ff3e2ec890c58f.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_22ff3e2ec890c58f", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 14720, + "output_tokens": 337, + "total_tokens": 15727, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17340.29, + "sql_execution_elapsed_ms_total": 10.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..acd5ed9c4100db760b6f31450bf0f00e295e568c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:55.181337+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": 17340.29, "started_at": "2026-05-19T15:29:37.840073+00:00", "ended_at": "2026-05-19T15:29:55.180389+00:00", "prompt_metrics": {"chars": 10905, "bytes_utf8": 10905, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 14720, "output_tokens": 337, "reasoning_output_tokens": 231}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"AspectRation\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with \\\"Class\\\" as the grouping column and \\\"AspectRation\\\" as the measure. CAST to REAL is used because the schema snapshot shows numeric values stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1f803e418855420b0fae83649286489f685bed9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_22ff3e2ec890c58f", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 14720, + "output_tokens": 337, + "total_tokens": 15727, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17340.29, + "sql_execution_elapsed_ms_total": 10.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3ec24213c0b2cdbe8ee09fdf73cdfc2e82017bbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11065, "bytes_utf8": 11065, "lines": 298, "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": 560, "bytes_utf8": 560, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15441, "cached_input_tokens": 12032, "output_tokens": 561, "reasoning_output_tokens": 407}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57797e2ebe4fe16bc5f269cd59b6e62c38f2b47f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2300fa68ad2971be", + "api_calls": 0, + "input_tokens": 15441, + "cached_input_tokens": 12032, + "output_tokens": 561, + "total_tokens": 16002, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15320.33, + "sql_execution_elapsed_ms_total": 40.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..37110842b34e02e34ba1fbfcb80647987dc24c59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/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": "2026-05-19T15:44:38.122114+00:00", + "ended_at": "2026-05-19T15:44:53.442482+00:00", + "elapsed_ms": 15320.33, + "prompt_metrics": { + "chars": 11065, + "bytes_utf8": 11065, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 937, + "bytes_utf8": 937, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 560, + "bytes_utf8": 560, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15441, + "cached_input_tokens": 12032, + "output_tokens": 561, + "reasoning_output_tokens": 407 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ffc24fea0bd052a5078a4cccb0be6240df70535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Area.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Area", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b72e4b2f027466a4a77f8bafc5b4cb5f67ebcaac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-17f2-7363-b5eb-a036f02ee7ce"} +{"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 \\\"Area\\\",\\n CAST(\\\"Area\\\" AS REAL) AS \\\"Area_num\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Area\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n10\\\"\\n WHERE \\\"Area\\\" IS NOT NULL\\n)\\nSELECT \\\"Area\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"Area_num\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"Area\\\" and num_tiles=10. Cast \\\"Area\\\" to REAL for correct numeric ordering because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15441,"cached_input_tokens":12032,"output_tokens":561,"reasoning_output_tokens":407}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12435f5bae6c2f8bee5844d00a6bae8e2c3eb283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"Area\",\n CAST(\"Area\" AS REAL) AS \"Area_num\",\n NTILE(10) OVER (ORDER BY CAST(\"Area\" AS REAL) DESC) AS tail_bucket\n FROM \"n10\"\n WHERE \"Area\" IS NOT NULL\n)\nSELECT \"Area\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"Area_num\" DESC;","notes":"Used the planned Quantile Tail Slice template with measure_col bound to \"Area\" and num_tiles=10. Cast \"Area\" to REAL for correct numeric ordering because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2300fa68ad2971be/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..debb6a61a7aa583d82df44ae68c9d46ab6b48a8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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=Class. +Result preview: [{"Class": "DERMASON", "row_count": 3546}, {"Class": "SIRA", "row_count": 2636}, {"Class": "SEKER", "row_count": 2027}, {"Class": "HOROZ", "row_count": 1928}, {"Class": "CALI", "row_count": 1630}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..978a9d56ad53e4069c5aecc1f577c54353572736 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_2364338db8f068f0 +-- problem_id: v2p_n10_c163988d98dbbcf2 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", COUNT(*) AS "row_count" +FROM "n10" +GROUP BY "Class" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26db20b209228c786ffa76c8f1056afe8c0437e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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 \"Class\", COUNT(*) AS \"row_count\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Class\", \"row_count\"], \"rows\": [{\"Class\": \"DERMASON\", \"row_count\": 3546}, {\"Class\": \"SIRA\", \"row_count\": 2636}, {\"Class\": \"SEKER\", \"row_count\": 2027}, {\"Class\": \"HOROZ\", \"row_count\": 1928}, {\"Class\": \"CALI\", \"row_count\": 1630}, {\"Class\": \"BARBUNYA\", \"row_count\": 1322}, {\"Class\": \"BOMBAY\", \"row_count\": 522}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4fb27f3e3846abbf1bc1a869b65e703b10fc0e6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:32:35.960096+00:00", + "ended_at": "2026-05-19T15:32:54.733736+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_2364338db8f068f0", + "problem_id": "v2p_n10_c163988d98dbbcf2", + "dataset_id": "n10", + "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=Class.", + "bindings": { + "group_col": "Class", + "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": 977.213, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=6", + "sql_variant_index=1/1", + "binding_index=17" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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_d/n10/sql/v2q_n10_2364338db8f068f0.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2364338db8f068f0", + "api_calls": 0, + "input_tokens": 15360, + "cached_input_tokens": 12032, + "output_tokens": 201, + "total_tokens": 15561, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18753.08, + "sql_execution_elapsed_ms_total": 11.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2139c45813a1abc1b060ac58d82186c454cc3c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:54.719574+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": 18753.08, "started_at": "2026-05-19T15:32:35.964761+00:00", "ended_at": "2026-05-19T15:32:54.717891+00:00", "prompt_metrics": {"chars": 10805, "bytes_utf8": 10805, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 277, "bytes_utf8": 277, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15360, "cached_input_tokens": 12032, "output_tokens": 201, "reasoning_output_tokens": 127}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"Class\\\" to measure class distribution.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..44914a550af5e3fed5fc22aa828eb6dcfd2e86e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2364338db8f068f0", + "api_calls": 0, + "input_tokens": 15360, + "cached_input_tokens": 12032, + "output_tokens": 201, + "total_tokens": 15561, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18753.08, + "sql_execution_elapsed_ms_total": 11.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..537b6f7b478a8e8a4a7066815210eb79d1b32e5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=MajorAxisLength. +Result preview: [{"Class": "BOMBAY", "avg_measure": 593.1520746303186}, {"Class": "CALI", "avg_measure": 409.4995384533272}, {"Class": "HOROZ", "avg_measure": 372.57029007300406}, {"Class": "BARBUNYA", "avg_measure": 370.0442793922777}, {"Class": "SIRA", "avg_measure": 299.3802579836998}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e501c8f3ec8788f8f3359d03ca3d3862cb91e433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n10_2508ae42bf4d06e2 +-- problem_id: v2p_n10_360d3b30176cae7c +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "Class", + AVG(CAST("MajorAxisLength" AS REAL)) OVER (PARTITION BY "Class") AS avg_measure +FROM "n10" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..416c277923229d5573d108ff4e137a8e2baf5abd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/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 \"Class\",\n AVG(CAST(\"MajorAxisLength\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"MajorAxisLength\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"Class\", \"avg_measure\"], \"rows\": [{\"Class\": \"BOMBAY\", \"avg_measure\": 593.1520746303186}, {\"Class\": \"CALI\", \"avg_measure\": 409.4995384533272}, {\"Class\": \"HOROZ\", \"avg_measure\": 372.57029007300406}, {\"Class\": \"BARBUNYA\", \"avg_measure\": 370.0442793922777}, {\"Class\": \"SIRA\", \"avg_measure\": 299.3802579836998}, {\"Class\": \"SEKER\", \"avg_measure\": 251.29195735056248}, {\"Class\": \"DERMASON\", \"avg_measure\": 246.55727891047886}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 58.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8dd87fef9441001b14d44cef0e6251973ed0400c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:41:20.930727+00:00", + "ended_at": "2026-05-19T15:41:35.352909+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_2508ae42bf4d06e2", + "problem_id": "v2p_n10_360d3b30176cae7c", + "dataset_id": "n10", + "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=Class, measure_col=MajorAxisLength.", + "bindings": { + "group_col": "Class", + "measure_col": "MajorAxisLength", + "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": 351.394392, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_d/n10/sql/v2q_n10_2508ae42bf4d06e2.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2508ae42bf4d06e2", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 312, + "total_tokens": 15713, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14356.87, + "sql_execution_elapsed_ms_total": 58.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68d39430488ea9d59934413ac4738f61b289802a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:35.292432+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": 14356.87, "started_at": "2026-05-19T15:41:20.933848+00:00", "ended_at": "2026-05-19T15:41:35.290759+00:00", "prompt_metrics": {"chars": 10998, "bytes_utf8": 10998, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15401, "cached_input_tokens": 14720, "output_tokens": 312, "reasoning_output_tokens": 207}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"MajorAxisLength\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the planned window-partition-average template with group_col=\\\"Class\\\" and measure_col=\\\"MajorAxisLength\\\". Cast \\\"MajorAxisLength\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fb547bcdee7275b3bafec5db43c0c381cde9a5a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2508ae42bf4d06e2", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 312, + "total_tokens": 15713, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14356.87, + "sql_execution_elapsed_ms_total": 58.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b10ffb0db524113bdd51884120a0bfe87b66e008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11066, "bytes_utf8": 11066, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 11066, "bytes_utf8": 11066, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 440, "bytes_utf8": 440, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15433, "cached_input_tokens": 14720, "output_tokens": 380, "reasoning_output_tokens": 258}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c72c38973ff9a3149512636f32ef9b6fb95974c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2630492122fcac6f", + "api_calls": 0, + "input_tokens": 15433, + "cached_input_tokens": 14720, + "output_tokens": 380, + "total_tokens": 15813, + "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": 15239.83, + "sql_execution_elapsed_ms_total": 9.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d91412f42175f4dda22bcd8010da79300c7307b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/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": "2026-05-19T16:04:54.388921+00:00", + "ended_at": "2026-05-19T16:05:00.418624+00:00", + "elapsed_ms": 6029.68, + "returncode": 1, + "prompt_metrics": { + "chars": 11066, + "bytes_utf8": 11066, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ff79b8c93aaa91521e1b3ea1898c917eaba152e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/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": "2026-05-19T16:05:01.420223+00:00", + "ended_at": "2026-05-19T16:05:10.630405+00:00", + "elapsed_ms": 9210.15, + "prompt_metrics": { + "chars": 11066, + "bytes_utf8": 11066, + "lines": 300, + "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": 440, + "bytes_utf8": 440, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15433, + "cached_input_tokens": 14720, + "output_tokens": 380, + "reasoning_output_tokens": 258 + } + }, + "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_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7126474c61c405ba6bc63ed12de2c0993b06700 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=roundness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.916869, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7126474c61c405ba6bc63ed12de2c0993b06700 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=roundness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.916869, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..61877ede06bb5dcdb16abbbacd9128a3df91d9cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-a703-7980-8b1a-fa8b967fbac4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b2a9fb6ba3e32b1b9ed0ee937ecc29148e58d03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-a703-7980-8b1a-fa8b967fbac4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..85b9bcc9e24384f392dc01eb128fa26d908567a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c29a-7c91-86d6-9f9f676b2719"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"roundness\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"roundness\\\" AS REAL)) > 0.916869\\nORDER BY total_measure DESC\\nLIMIT 13;\",\"notes\":\"Applied the Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"roundness\\\". Cast \\\"roundness\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15433,"cached_input_tokens":14720,"output_tokens":380,"reasoning_output_tokens":258}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..27c7e6680faabfe97663a079658270d5e3ba7bb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"roundness\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"roundness\" AS REAL)) > 0.916869\nORDER BY total_measure DESC\nLIMIT 13;","notes":"Applied the Thresholded Group Ranking template with group_col=\"Class\" and measure_col=\"roundness\". Cast \"roundness\" 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_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2630492122fcac6f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6de717319d1a705acbb02835b43292a6c19c1402 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_265eaf3da123b00b", + "api_calls": 0, + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 406, + "total_tokens": 15857, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9567.74, + "sql_execution_elapsed_ms_total": 7.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc51b1faf84a2ddf91913c856fb3d320d58e01e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:01.456198+00:00", + "ended_at": "2026-05-19T15:58:11.023970+00:00", + "elapsed_ms": 9567.74, + "prompt_metrics": { + "chars": 11153, + "bytes_utf8": 11153, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 784, + "bytes_utf8": 784, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 425, + "bytes_utf8": 425, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 406, + "reasoning_output_tokens": 292 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc0a73a13d487b917ddc0eca1154309909d51f97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 376.495012, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d8d2798956313c04b06319d7028084a8a811a92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-59f3-7e93-aaf2-94fe470f0ac7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applies the requested grouped condition rate template with \\\"Class\\\" as both the grouping column and condition column, measuring the share of rows in each class group that are labeled 'SIRA'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15451,"cached_input_tokens":14720,"output_tokens":406,"reasoning_output_tokens":292}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..193af0bfe0cb335a4099b0209510689359c8bea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"condition_rate\" DESC;","notes":"Applies the requested grouped condition rate template with \"Class\" as both the grouping column and condition column, measuring the share of rows in each class group that are labeled 'SIRA'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fb63bf62c466c51c5f4cb28cf6b2e6993daa545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10995, "bytes_utf8": 10995, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 571, "bytes_utf8": 571, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15401, "cached_input_tokens": 14720, "output_tokens": 523, "reasoning_output_tokens": 372}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..862e7e30f21dbec5bc0baceb3eb410461cb6776f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_283650c46cc34180", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 523, + "total_tokens": 15924, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24013.41, + "sql_execution_elapsed_ms_total": 51.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..76b6bbdf6af77a3ac65cd3d5091f89021ea106fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:21.095507+00:00", + "ended_at": "2026-05-19T15:43:45.108949+00:00", + "elapsed_ms": 24013.41, + "prompt_metrics": { + "chars": 10995, + "bytes_utf8": 10995, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2283, + "bytes_utf8": 2283, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 571, + "bytes_utf8": 571, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 523, + "reasoning_output_tokens": 372 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85923cc85046387c1d4a435bbed2a5a143a16372 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=EquivDiameter.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 259.029754, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eb201472d7027927f6a1fb4fe01a89bf6d89970 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40e7-eb26-7ff3-9d6f-66e2b5f2dc97"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16036. Please try again in 481ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16036. Please try again in 481ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985128, Requested 16036. Please try again in 34ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16036. Please try again in 481ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"EquivDiameter\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS \\\"avg_measure\\\"\\nFROM \\\"n10\\\"\\nWHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"EquivDiameter\\\" IS NOT NULL\\n AND TRIM(\\\"EquivDiameter\\\") <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"EquivDiameter\\\". Cast \\\"EquivDiameter\\\" to REAL because the schema stores numeric values as TEXT, and filtered NULL/empty values for a stable view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15401,"cached_input_tokens":14720,"output_tokens":523,"reasoning_output_tokens":372}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d18a2fce88041208bf9378af3caa73ddae48f5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"EquivDiameter\" AS REAL)) OVER (PARTITION BY \"Class\") AS \"avg_measure\"\nFROM \"n10\"\nWHERE \"Class\" IS NOT NULL\n AND \"EquivDiameter\" IS NOT NULL\n AND TRIM(\"EquivDiameter\") <> ''\nORDER BY \"avg_measure\" DESC;","notes":"Applied the Window Partition Average template with group_col=\"Class\" and measure_col=\"EquivDiameter\". Cast \"EquivDiameter\" to REAL because the schema stores numeric values as TEXT, and filtered NULL/empty values for a stable view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_283650c46cc34180/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d8e0566748fcc708698d711ae60e71cf8bb0294 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Extent. +Result preview: [{"Class": "DERMASON", "total_measure": 2669.97175479932}, {"Class": "SIRA", "total_measure": 1975.5363583206529}, {"Class": "SEKER", "total_measure": 1564.1838618702911}, {"Class": "HOROZ", "total_measure": 1361.9251143416818}, {"Class": "CALI", "total_measure": 1237.093617855214}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe01f95db338ea3ec04ff6fff2f35ce5d5904fa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n10_2944dc1a0d5d02f9 +-- problem_id: v2p_n10_981f742eda973258 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("Extent" AS REAL)) AS total_measure +FROM "n10" +GROUP BY "Class" +HAVING SUM(CAST("Extent" AS REAL)) > 0.778107 +ORDER BY total_measure DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c13ccecb0b5376304ac5c113bcdd104aa9eee1af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/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_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"Extent\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Extent\" AS REAL)) > 0.778107\nORDER BY total_measure DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Extent\\\" AS REAL)) > 0.778107\\nORDER BY total_measure DESC\\nLIMIT 16;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 2669.97175479932}, {\"Class\": \"SIRA\", \"total_measure\": 1975.5363583206529}, {\"Class\": \"SEKER\", \"total_measure\": 1564.1838618702911}, {\"Class\": \"HOROZ\", \"total_measure\": 1361.9251143416818}, {\"Class\": \"CALI\", \"total_measure\": 1237.093617855214}, {\"Class\": \"BARBUNYA\", \"total_measure\": 990.5384966784937}, {\"Class\": \"BOMBAY\", \"total_measure\": 405.3637648793726}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..950badaa187a8f9157ff2ee4e32b3cffa680669d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:04:21.008677+00:00", + "ended_at": "2026-05-19T16:04:30.400144+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_2944dc1a0d5d02f9", + "problem_id": "v2p_n10_981f742eda973258", + "dataset_id": "n10", + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "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 Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Extent.", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "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": 0.778107, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\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=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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_2944dc1a0d5d02f9.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2944dc1a0d5d02f9", + "api_calls": 0, + "input_tokens": 15431, + "cached_input_tokens": 12032, + "output_tokens": 262, + "total_tokens": 15693, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9370.65, + "sql_execution_elapsed_ms_total": 14.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95f15e2dc388c4e51a4efc2ab264b422db5a637b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:30.383532+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": 9370.65, "started_at": "2026-05-19T16:04:21.011520+00:00", "ended_at": "2026-05-19T16:04:30.382196+00:00", "prompt_metrics": {"chars": 11064, "bytes_utf8": 11064, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 431, "bytes_utf8": 431, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15431, "cached_input_tokens": 12032, "output_tokens": 262, "reasoning_output_tokens": 145}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Extent\\\" AS REAL)) > 0.778107\\nORDER BY total_measure DESC\\nLIMIT 16;\",\"notes\":\"Used the required Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"Extent\\\". Cast \\\"Extent\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23154c5d9ca07d843e87ae92604371916aa0c0bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2944dc1a0d5d02f9", + "api_calls": 0, + "input_tokens": 15431, + "cached_input_tokens": 12032, + "output_tokens": 262, + "total_tokens": 15693, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9370.65, + "sql_execution_elapsed_ms_total": 14.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbaf60898799c5568555af10fdfed9be97690652 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10807, "bytes_utf8": 10807, "lines": 298, "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": 242, "bytes_utf8": 242, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 12032, "output_tokens": 246, "reasoning_output_tokens": 181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b682154f4bd3bdd600725d3f4b0972569b9602b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2bd7a792c9743818", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 246, + "total_tokens": 15607, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7992.81, + "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_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ee11e1f27bf9ea5faa24b69ea217ea803a3e3e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:51.557383+00:00", + "ended_at": "2026-05-19T15:31:59.550229+00:00", + "elapsed_ms": 7992.81, + "prompt_metrics": { + "chars": 10807, + "bytes_utf8": 10807, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 588, + "bytes_utf8": 588, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 242, + "bytes_utf8": 242, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 246, + "reasoning_output_tokens": 181 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffa048756b2a82c3dee159dee4ff00086f8712e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Class", + "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": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ade3564c63662b0876b80f0bc34c528f2ba5d21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-659a-7750-8b59-8900b4524acf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS row_count\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Counts rows per \\\"Class\\\" to inspect subgroup size distribution for stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15361,"cached_input_tokens":12032,"output_tokens":246,"reasoning_output_tokens":181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..709b8bf50e31b653e85c9d16538643ef0d4327ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Class\", COUNT(*) AS row_count\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY row_count DESC;","notes":"Counts rows per \"Class\" to inspect subgroup size distribution for stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2bd7a792c9743818/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a8862ecd8055c67bc1a5ab81cebbed163740370a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/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": "2026-05-19T16:00:50.028746+00:00", + "ended_at": "2026-05-19T16:00:53.248752+00:00", + "elapsed_ms": 3219.98, + "returncode": 1, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..209550bbecaf005452ff10e42e273e40e785bcef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/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": "2026-05-19T16:00:54.250978+00:00", + "ended_at": "2026-05-19T16:00:57.705968+00:00", + "elapsed_ms": 3454.93, + "returncode": 1, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ad5f4a7d5acc55390f5be68d74c817edf374846 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ad5f4a7d5acc55390f5be68d74c817edf374846 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc2030872f5ed2411350fcedba0e0d29a6331279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-ec75-7300-a83f-812da9cd37c2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7f43712541d4391d642403d714fd2c34c9a07b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-ec75-7300-a83f-812da9cd37c2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69e97b1a687b3205d2f4b163953228aeea6ee254 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-fcf9-7241-8e40-6613c9856152"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b10f7cf2599489b0be2318c2616fb01532c4aad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-fcf9-7241-8e40-6613c9856152"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2df3d1ef72505f37/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e760a3a953d61812d0d0c64515d7896d2301a5c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10848, "bytes_utf8": 10848, "lines": 298, "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": 10848, "bytes_utf8": 10848, "lines": 298, "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": 382, "bytes_utf8": 382, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15381, "cached_input_tokens": 14720, "output_tokens": 336, "reasoning_output_tokens": 227}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ab993208844138fed32b5ef9ca7c367208d0019 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_2fca837bd58fe111", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 14720, + "output_tokens": 336, + "total_tokens": 15717, + "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": 13444.29, + "sql_execution_elapsed_ms_total": 9.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2daf8af9c80c4569d4e5f5ed9ec89d20590e55a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/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": "2026-05-19T15:59:18.900264+00:00", + "ended_at": "2026-05-19T15:59:22.111982+00:00", + "elapsed_ms": 3211.68, + "returncode": 1, + "prompt_metrics": { + "chars": 10848, + "bytes_utf8": 10848, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..054b4dbad99aa434b52185922df0bf969506d968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:23.114932+00:00", + "ended_at": "2026-05-19T15:59:33.347593+00:00", + "elapsed_ms": 10232.61, + "prompt_metrics": { + "chars": 10848, + "bytes_utf8": 10848, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 726, + "bytes_utf8": 726, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 382, + "bytes_utf8": 382, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15381, + "cached_input_tokens": 14720, + "output_tokens": 336, + "reasoning_output_tokens": 227 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..62014f0370285b22ac78f2364d3a0932324f8e81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor1.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ShapeFactor1", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..62014f0370285b22ac78f2364d3a0932324f8e81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor1.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ShapeFactor1", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8947be7022541f1e27324c0a1530bd839be1710b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-887c-78d1-bfdb-15b27f460785"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e5fea86d4fd3e7745c991b5cdafe09def809498 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-887c-78d1-bfdb-15b27f460785"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e6928aa5e31c577b75e8333c3bcf096501b329a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-9918-7443-a573-a2c675098983"} +{"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(\\\"ShapeFactor1\\\" AS REAL) <= 0.007271 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col bound to \\\"ShapeFactor1\\\" and threshold 0.007271. CAST to REAL is included because the schema stores feature values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15381,"cached_input_tokens":14720,"output_tokens":336,"reasoning_output_tokens":227}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..020b5095b2c80098200e3154c83b7a4c799d6b85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"ShapeFactor1\" AS REAL) <= 0.007271 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n10\";","notes":"Used the planned Threshold Rarity CDF template with measure_col bound to \"ShapeFactor1\" and threshold 0.007271. CAST to REAL is included because the schema stores feature values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2fca837bd58fe111/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56d0e758c98a409c7ae8a418e4404ba24e1cc0c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11462, "bytes_utf8": 11462, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15528, "cached_input_tokens": 14720, "output_tokens": 389, "reasoning_output_tokens": 223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..25fc6e023ab96ea87f2e0a814383ba06a57118bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_3423327883e390dc", + "api_calls": 0, + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 389, + "total_tokens": 15917, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9141.06, + "sql_execution_elapsed_ms_total": 22.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d9a17497198e2c996654cb6f61698bc54ba3f059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:36.253771+00:00", + "ended_at": "2026-05-19T15:48:45.394881+00:00", + "elapsed_ms": 9141.06, + "prompt_metrics": { + "chars": 11462, + "bytes_utf8": 11462, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1005, + "bytes_utf8": 1005, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 389, + "reasoning_output_tokens": 223 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..14d6c14e6f7dcd8e60b5e63b8235b8836961ec86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=ShapeFactor3.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor3", + "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": 0.673293, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d777cae6a4c09e7d3d4c3ee8de96a489ebf6e4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-ba3b-7371-aef4-afba58872276"} +{"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 \\\"Class\\\", SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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 required Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor3\\\". CAST to REAL is needed because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15528,"cached_input_tokens":14720,"output_tokens":389,"reasoning_output_tokens":223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c042d6e6783471d47fe1381184fa942866bbc848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"ShapeFactor3\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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 required Relative-to-Total Extreme Threshold template with group_col=\"Class\" and measure_col=\"ShapeFactor3\". CAST to REAL is needed 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_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3423327883e390dc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..66d618e828c3f1fe7d948fc78ea8d5970742c6a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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=Class, measure_col=ConvexArea. +Result preview: [{"Class": "BOMBAY", "percentile_measure": 207033.0}, {"Class": "CALI", "percentile_measure": 88910.0}, {"Class": "BARBUNYA", "percentile_measure": 84186.0}, {"Class": "HOROZ", "percentile_measure": 63753.0}, {"Class": "SIRA", "percentile_measure": 51283.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..36c865daef4b9ba21a0f7dbf424e693545c8233f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/generated_sql.sql @@ -0,0 +1,42 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_35a4e581af668255 +-- problem_id: v2p_n10_c2f27734aad44751 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Class", + CAST("ConvexArea" AS REAL) AS "ConvexArea", + CUME_DIST() OVER ( + PARTITION BY "Class" + ORDER BY CAST("ConvexArea" AS REAL) + ) AS "cume_dist_value" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "ConvexArea" IS NOT NULL +), +"thresholded" AS ( + SELECT + "Class", + "ConvexArea", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY "cume_dist_value", "ConvexArea" + ) AS "rn" + FROM "ranked" + WHERE "cume_dist_value" >= 0.9 +) +SELECT + "Class", + "ConvexArea" AS "percentile_measure" +FROM "thresholded" +WHERE "rn" = 1 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..41d9ad833a2fc3308060a860a930215ba299d70a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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 \"Class\",\n CAST(\"ConvexArea\" AS REAL) AS \"ConvexArea\",\n CUME_DIST() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"ConvexArea\" AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"ConvexArea\" IS NOT NULL\n),\n\"thresholded\" AS (\n SELECT\n \"Class\",\n \"ConvexArea\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY \"cume_dist_value\", \"ConvexArea\"\n ) AS \"rn\"\n FROM \"ranked\"\n WHERE \"cume_dist_value\" >= 0.9\n)\nSELECT\n \"Class\",\n \"ConvexArea\" AS \"percentile_measure\"\nFROM \"thresholded\"\nWHERE \"rn\" = 1\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"ConvexArea\\\" AS REAL) AS \\\"ConvexArea\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"ConvexArea\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ConvexArea\\\" IS NOT NULL\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"ConvexArea\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY \\\"cume_dist_value\\\", \\\"ConvexArea\\\"\\n ) AS \\\"rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cume_dist_value\\\" >= 0.9\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"ConvexArea\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"BOMBAY\", \"percentile_measure\": 207033.0}, {\"Class\": \"CALI\", \"percentile_measure\": 88910.0}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 84186.0}, {\"Class\": \"HOROZ\", \"percentile_measure\": 63753.0}, {\"Class\": \"SIRA\", \"percentile_measure\": 51283.0}, {\"Class\": \"SEKER\", \"percentile_measure\": 46608.0}, {\"Class\": \"DERMASON\", \"percentile_measure\": 39088.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 35.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..146c5d352d6da11f4b2c44834d12927d5c97620f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:52:21.928369+00:00", + "ended_at": "2026-05-19T15:52:40.595069+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_35a4e581af668255", + "problem_id": "v2p_n10_c2f27734aad44751", + "dataset_id": "n10", + "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=Class, measure_col=ConvexArea.", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 53411.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_d/n10/sql/v2q_n10_35a4e581af668255.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_35a4e581af668255", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 825, + "total_tokens": 16253, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18625.07, + "sql_execution_elapsed_ms_total": 35.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72691f199046ae699b2860b91e6f356f792515f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:40.557248+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": 18625.07, "started_at": "2026-05-19T15:52:21.931026+00:00", "ended_at": "2026-05-19T15:52:40.556129+00:00", "prompt_metrics": {"chars": 11079, "bytes_utf8": 11079, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1023, "bytes_utf8": 1023, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 825, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"ConvexArea\\\" AS REAL) AS \\\"ConvexArea\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"ConvexArea\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ConvexArea\\\" IS NOT NULL\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"ConvexArea\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY \\\"cume_dist_value\\\", \\\"ConvexArea\\\"\\n ) AS \\\"rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cume_dist_value\\\" >= 0.9\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"ConvexArea\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() on CAST(\\\"ConvexArea\\\" AS REAL) and returns, for each \\\"Class\\\", the smallest value whose cumulative distribution reaches at least 0.9 (a SQLite-compatible 90"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ee5286e2df39612d26ecb1b6e8403ccc4af266a --- /dev/null +++ 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a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46ca6ac635362a25a2892be593359a6fc6ddd8c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11319, "bytes_utf8": 11319, "lines": 302, "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": 621, "bytes_utf8": 621, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15510, "cached_input_tokens": 12032, "output_tokens": 570, "reasoning_output_tokens": 397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8c77e526d1ce452837a5d99d0a76049b894b5596 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_360d62a377f641f2", + "api_calls": 0, + "input_tokens": 15510, + "cached_input_tokens": 12032, + "output_tokens": 570, + "total_tokens": 16080, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22324.08, + "sql_execution_elapsed_ms_total": 68.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1a00e05958ad037e39f6e8e0471a51f301021b3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:26.218762+00:00", + "ended_at": "2026-05-19T15:36:48.542870+00:00", + "elapsed_ms": 22324.08, + "prompt_metrics": { + "chars": 11319, + "bytes_utf8": 11319, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1338, + "bytes_utf8": 1338, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 621, + "bytes_utf8": 621, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15510, + "cached_input_tokens": 12032, + "output_tokens": 570, + "reasoning_output_tokens": 397 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84ff54b0e7d661dfc8dae2cc4efd00756e1b5446 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=ShapeFactor3.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor3", + "item_col": "ShapeFactor4", + "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": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..157f2646098cd43ab433c1f92f5d610dae2adbfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e1-9675-7c33-9fe1-1b18b9149b20"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1998026, Requested 16145. Please try again in 425ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor4\\\",\\n SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor3\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor4\\\", and measure_col=\\\"ShapeFactor3\\\". Cast \\\"ShapeFactor3\\\" from TEXT to REAL so SQLite can aggregate it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15510,"cached_input_tokens":12032,"output_tokens":570,"reasoning_output_tokens":397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5238b9546a7484bd60eb4cc340b0c63904a271c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor4\",\n SUM(CAST(\"ShapeFactor3\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor3\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor4\"\nORDER BY share_within_group DESC;","notes":"Applied the planned Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor4\", and measure_col=\"ShapeFactor3\". Cast \"ShapeFactor3\" from TEXT to REAL so SQLite can aggregate it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_360d62a377f641f2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..23a5d78546cbbfb7b197954051718d4b04539a37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10911, "bytes_utf8": 10911, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 255, "reasoning_output_tokens": 155}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0fc571e5a08e64875c836a0e658e2f3c757e9f9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_3639ec7682c72c36", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 15645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10558.23, + "sql_execution_elapsed_ms_total": 11.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a30cd531dad45eb03224b929fcdbaa7e111ac845 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:15.511399+00:00", + "ended_at": "2026-05-19T15:31:26.069660+00:00", + "elapsed_ms": 10558.23, + "prompt_metrics": { + "chars": 10911, + "bytes_utf8": 10911, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 741, + "bytes_utf8": 741, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 379, + "bytes_utf8": 379, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 255, + "reasoning_output_tokens": 155 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f774683cfe4e9491a1aecec38f155a1cf75d0376 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=EquivDiameter.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 259.029754, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..854577bd75f05db44b564b6586498862a37ce0b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-d8df-7e61-b02d-bed359ba322f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"EquivDiameter\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"EquivDiameter\\\". CAST to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":255,"reasoning_output_tokens":155}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb16a1c94c950d1029e745acb730dc0f2f0616f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"EquivDiameter\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided grouped numeric sum template with group_col=\"Class\" and measure_col=\"EquivDiameter\". 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_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3639ec7682c72c36/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf1928a2ec2d40c988625a7e094193fef288578a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11311, "bytes_utf8": 11311, "lines": 302, "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": 618, "bytes_utf8": 618, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15507, "cached_input_tokens": 12032, "output_tokens": 553, "reasoning_output_tokens": 387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bbd19c869255aa03455bd2d7d026193d7ddbf978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_36ca7734f143fcd1", + "api_calls": 0, + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 553, + "total_tokens": 16060, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11465.06, + "sql_execution_elapsed_ms_total": 75.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34e67cbb880c98774ed7ce6e0a543ef54f6eabc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:53.603571+00:00", + "ended_at": "2026-05-19T15:35:05.068667+00:00", + "elapsed_ms": 11465.06, + "prompt_metrics": { + "chars": 11311, + "bytes_utf8": 11311, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 998, + "bytes_utf8": 998, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 618, + "bytes_utf8": 618, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 553, + "reasoning_output_tokens": 387 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a7baba7411ec89d6498ff766398ff1273fa1c10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, measure_col=Compactness.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "item_col": "ShapeFactor1", + "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": 0.83427, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05d56b840f9a21c34d2767ddefb9139f97d595d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-2c9e-7122-b408-ad60837cdec9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor1\\\",\\n SUM(CAST(\\\"Compactness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Compactness\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Compactness\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor1\\\", and measure_col=\\\"Compactness\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15507,"cached_input_tokens":12032,"output_tokens":553,"reasoning_output_tokens":387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c83435b8ce4af9f4d1e00ae7ecb8f896d659a5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor1\",\n SUM(CAST(\"Compactness\" AS REAL)) AS total_measure,\n SUM(CAST(\"Compactness\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Compactness\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor1\"\nORDER BY share_within_group DESC;","notes":"Used the required Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor1\", and measure_col=\"Compactness\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36ca7734f143fcd1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5b518f0cecfe4948fb182c759bb2ed1d1db708a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class. +Result preview: [{"Class": "BOMBAY", "support": 522}, {"Class": "BARBUNYA", "support": 1322}, {"Class": "CALI", "support": 1630}, {"Class": "HOROZ", "support": 1928}, {"Class": "SEKER", "support": 2027}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d08eb682688cb14f910543ee8b9580db2ac2d00e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_tail_low_support_group_count_v2 +-- query_record_id: v2q_n10_36e3f302abd4e02e +-- problem_id: v2p_n10_f1ee0aa8d8c6084f +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + COUNT(*) AS "support" +FROM "n10" +GROUP BY "Class" +ORDER BY "support" ASC, "Class" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73f1ccc4858dce26a755c121939eaff65f955e70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2.\nSELECT\n \"Class\",\n COUNT(*) AS \"support\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"support\" ASC, \"Class\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 11;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"BOMBAY\", \"support\": 522}, {\"Class\": \"BARBUNYA\", \"support\": 1322}, {\"Class\": \"CALI\", \"support\": 1630}, {\"Class\": \"HOROZ\", \"support\": 1928}, {\"Class\": \"SEKER\", \"support\": 2027}, {\"Class\": \"SIRA\", \"support\": 2636}, {\"Class\": \"DERMASON\", \"support\": 3546}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..446cf2f43b6b6aa546805a1175e50cca19092288 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:00:57.707213+00:00", + "ended_at": "2026-05-19T16:01:12.259130+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_36e3f302abd4e02e", + "problem_id": "v2p_n10_f1ee0aa8d8c6084f", + "dataset_id": "n10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.", + "bindings": { + "group_col": "Class", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_d/n10/sql/v2q_n10_36e3f302abd4e02e.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_36e3f302abd4e02e", + "api_calls": 0, + "input_tokens": 15396, + "cached_input_tokens": 12032, + "output_tokens": 378, + "total_tokens": 15774, + "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": 13537.3, + "sql_execution_elapsed_ms_total": 6.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b34c04cc50ce1f6a5004b99765bb67b094f3b2e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:00.978946+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": 3268.08, "started_at": "2026-05-19T16:00:57.710175+00:00", "ended_at": "2026-05-19T16:01:00.978277+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "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\":\"019e40f8-0a69-7e81-8370-4a43c043c25b\"}\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": "2026-05-19T16:01:12.250529+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": 10269.22, "started_at": "2026-05-19T16:01:01.980488+00:00", "ended_at": "2026-05-19T16:01:12.249754+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 315, "bytes_utf8": 315, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15396, "cached_input_tokens": 12032, "output_tokens": 378, "reasoning_output_tokens": 280}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 11;\",\"notes\":\"Uses the Low-Support Group Count template on \\\"n10\\\" with group_col bound to \\\"Class\\\" and top_k set to 11.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5fca4a38f92f04b6a65601402efaabf55eca70e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_36e3f302abd4e02e", + "api_calls": 0, + "input_tokens": 15396, + "cached_input_tokens": 12032, + "output_tokens": 378, + "total_tokens": 15774, + "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": 13537.3, + "sql_execution_elapsed_ms_total": 6.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..385f4e2ae04147a021c8c73fef980f7d6330e31d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10974, "bytes_utf8": 10974, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15398, "cached_input_tokens": 14720, "output_tokens": 237, "reasoning_output_tokens": 137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9513b767e5723d53dde3ab75f93b4cf2cd505a5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_3a64c743afaf2b6a", + "api_calls": 0, + "input_tokens": 15398, + "cached_input_tokens": 14720, + "output_tokens": 237, + "total_tokens": 15635, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13592.34, + "sql_execution_elapsed_ms_total": 52.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..833dc6e47dcb5607f367c0f3a3545d4136934b38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:21.568572+00:00", + "ended_at": "2026-05-19T15:40:35.160946+00:00", + "elapsed_ms": 13592.34, + "prompt_metrics": { + "chars": 10974, + "bytes_utf8": 10974, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 744, + "bytes_utf8": 744, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 386, + "bytes_utf8": 386, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15398, + "cached_input_tokens": 14720, + "output_tokens": 237, + "reasoning_output_tokens": 137 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc329cc17bbd92c5e77ba6417806a7f872cbce2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Area.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bdbe766d48414742840325ae9a9d00edd860d17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-2dd9-7a20-92c5-cd16ff49f3e9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"Area\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the requested Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"Area\\\". Cast \\\"Area\\\" from TEXT to REAL so AVG works numerically in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15398,"cached_input_tokens":14720,"output_tokens":237,"reasoning_output_tokens":137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e6e6450fa1f262ca2939e74b338ed0ad52edb66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"Area\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;","notes":"Used the requested Window Partition Average template with group_col=\"Class\" and measure_col=\"Area\". Cast \"Area\" from TEXT to REAL so AVG works numerically in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3a64c743afaf2b6a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5bf348dea9124fcbc33e30f75cfd1f85e4f49deb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10897, "bytes_utf8": 10897, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15387, "cached_input_tokens": 12032, "output_tokens": 260, "reasoning_output_tokens": 162}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0fcb0a5ce8a8f4e557224394824b527853015339 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_3b038bcf20895710", + "api_calls": 0, + "input_tokens": 15387, + "cached_input_tokens": 12032, + "output_tokens": 260, + "total_tokens": 15647, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9247.73, + "sql_execution_elapsed_ms_total": 8.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..59f1fb3e1658bb1eac2b01e6ee72db645da03e7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/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": "2026-05-19T15:28:34.923326+00:00", + "ended_at": "2026-05-19T15:28:44.171083+00:00", + "elapsed_ms": 9247.73, + "prompt_metrics": { + "chars": 10897, + "bytes_utf8": 10897, + "lines": 300, + "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": 380, + "bytes_utf8": 380, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15387, + "cached_input_tokens": 12032, + "output_tokens": 260, + "reasoning_output_tokens": 162 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..948535297e8bce67fa863a186457ea602b5e19db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=Perimeter.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "Perimeter", + "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": 977.213, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0366975b363a598b4d38c0731f34e3e9ee92320a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-6561-7ef1-96d8-e838471d2e6c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Perimeter\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"Perimeter\\\". CAST to REAL is used because the schema stores numeric-looking values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15387,"cached_input_tokens":12032,"output_tokens":260,"reasoning_output_tokens":162}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cea520d2f599ca0938b74a92adcf5f10a28e687 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"Perimeter\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;","notes":"Applied the planned grouped numeric sum template with group_col=\"Class\" and measure_col=\"Perimeter\". CAST to REAL is used because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3b038bcf20895710/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..76f49a6d1a57f9c748a8317cf9b786ae81cbe059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:39.242970+00:00", + "ended_at": "2026-05-19T15:58:41.918166+00:00", + "elapsed_ms": 2675.17, + "returncode": 1, + "prompt_metrics": { + "chars": 11151, + "bytes_utf8": 11151, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b5837eb5c3abd4b491d9b5b248aaf3a76c6196d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:42.920658+00:00", + "ended_at": "2026-05-19T15:58:46.130320+00:00", + "elapsed_ms": 3209.62, + "returncode": 1, + "prompt_metrics": { + "chars": 11151, + "bytes_utf8": 11151, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cfd15aa4b753c8d5b870456bb3523216a97b813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cfd15aa4b753c8d5b870456bb3523216a97b813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6fc6b25843dd7efd5a71b049b7faa409448ca81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-ed8f-7503-b759-1e4c3536dc3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e6dddb820cda1e5d533ce2fe856dee4b9de2b4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-ed8f-7503-b759-1e4c3536dc3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..183e16bc6b23a3665028e0a88ccd1456818f5e31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-fbfe-7f20-97fe-bd0e30fb5c20"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ef154d5d58bcd42116cc1926de15f99c8f40f76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-fbfe-7f20-97fe-bd0e30fb5c20"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3cfbed0f8efa3cc8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7c49b7a3f4cd49fdeff266550099eea162384f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11078, "bytes_utf8": 11078, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 11078, "bytes_utf8": 11078, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1816, "bytes_utf8": 1816, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 1172, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e0b92858abc51c6ab0130b38eb489373e5adbddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_3e71ae472aaf742f", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 1172, + "total_tokens": 16598, + "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": 22308.41, + "sql_execution_elapsed_ms_total": 58.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8022436a873dd94f9d7322c855a19081fa542099 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:05.144834+00:00", + "ended_at": "2026-05-19T15:55:08.441371+00:00", + "elapsed_ms": 3296.5, + "returncode": 1, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d986236a9a80e6345eb3fd613392b4e2e14f6eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:09.443731+00:00", + "ended_at": "2026-05-19T15:55:28.455684+00:00", + "elapsed_ms": 19011.91, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2516, + "bytes_utf8": 2516, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1816, + "bytes_utf8": 1816, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 1172, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29369ef8693d3037b1c1dd9c21883dfd7758ce51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=roundness.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.905212, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..29369ef8693d3037b1c1dd9c21883dfd7758ce51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=roundness.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.905212, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5124b4017a5ac74cbe6ccb368befcad6a551d008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-a948-73c0-a5ab-67719a3f5c14"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52d07541ef4c354db9b07725c45c8132fc4d59f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-a948-73c0-a5ab-67719a3f5c14"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25f991b2db7431748fe9f6ef3f2cedebe65126d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-ba47-75f3-bca9-469f6631d775"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"Class\\\" AS \\\"group_col\\\",\\n CAST(\\\"roundness\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"roundness\\\" IS NOT NULL\\n),\\n\\\"__ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"h\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) AS \\\"h_floor\\\",\\n CASE\\n WHEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) < (((\\\"cnt\\\" - 1) * 0.9) + 1.0)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n END AS \\\"h_ceil\\\"\\n FROM \\\"__ranked\\\"\\n)\\nSELECT\\n \\\"p\\\".\\\"group_col\\\" AS \\\"Class\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"h_floor\\\" = \\\"p\\\".\\\"h_ceil\\\" THEN MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"h_floor\\\" THEN \\\"r\\\".\\\"measure\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"h_floor\\\" THEN \\\"r\\\".\\\"measure\\\" END) * (\\\"p\\\".\\\"h_ceil\\\" - \\\"p\\\".\\\"h\\\") +\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"h_ceil\\\" THEN \\\"r\\\".\\\"measure\\\" END) * (\\\"p\\\".\\\"h\\\" - \\\"p\\\".\\\"h_floor\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__params\\\" AS \\\"p\\\"\\nJOIN \\\"__ranked\\\" AS \\\"r\\\"\\n ON \\\"r\\\".\\\"group_col\\\" = \\\"p\\\".\\\"group_col\\\"\\nGROUP BY\\n \\\"p\\\".\\\"group_col\\\",\\n \\\"p\\\".\\\"h\\\",\\n \\\"p\\\".\\\"h_floor\\\",\\n \\\"p\\\".\\\"h_ceil\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible replacement for PERCENTILE_CONT(0.9) by \\\"Class\\\", using window functions and linear interpolation on CAST(\\\"roundness\\\" AS REAL) because the source column is stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15426,"cached_input_tokens":14720,"output_tokens":1172,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c2322bcea157aba3aed01dbb1c60be2dab456a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n \"Class\" AS \"group_col\",\n CAST(\"roundness\" AS REAL) AS \"measure\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"roundness\" IS NOT NULL\n),\n\"__ranked\" AS (\n SELECT\n \"group_col\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_col\") AS \"cnt\"\n FROM \"__base\"\n),\n\"__params\" AS (\n SELECT DISTINCT\n \"group_col\",\n ((\"cnt\" - 1) * 0.9) + 1.0 AS \"h\",\n CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) AS \"h_floor\",\n CASE\n WHEN CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) < (((\"cnt\" - 1) * 0.9) + 1.0)\n THEN CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\n ELSE CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n END AS \"h_ceil\"\n FROM \"__ranked\"\n)\nSELECT\n \"p\".\"group_col\" AS \"Class\",\n CASE\n WHEN \"p\".\"h_floor\" = \"p\".\"h_ceil\" THEN MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"h_floor\" THEN \"r\".\"measure\" END)\n ELSE\n MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"h_floor\" THEN \"r\".\"measure\" END) * (\"p\".\"h_ceil\" - \"p\".\"h\") +\n MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"h_ceil\" THEN \"r\".\"measure\" END) * (\"p\".\"h\" - \"p\".\"h_floor\")\n END AS \"percentile_measure\"\nFROM \"__params\" AS \"p\"\nJOIN \"__ranked\" AS \"r\"\n ON \"r\".\"group_col\" = \"p\".\"group_col\"\nGROUP BY\n \"p\".\"group_col\",\n \"p\".\"h\",\n \"p\".\"h_floor\",\n \"p\".\"h_ceil\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible replacement for PERCENTILE_CONT(0.9) by \"Class\", using window functions and linear interpolation on CAST(\"roundness\" AS REAL) because the source column is stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e71ae472aaf742f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a2006b853ffa9ea8c79ad211876605f75fdce2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11143, "bytes_utf8": 11143, "lines": 303, "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": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15451, "cached_input_tokens": 14720, "output_tokens": 300, "reasoning_output_tokens": 196}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..465a0b8de658d154ff8f6a5649f717d67881ce7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_3e7f8a92a65279b8", + "api_calls": 0, + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 300, + "total_tokens": 15751, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9948.61, + "sql_execution_elapsed_ms_total": 11.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c99a58ea8fb3c360560faefdefb09badcde2f8cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:34.024690+00:00", + "ended_at": "2026-05-19T15:57:43.973334+00:00", + "elapsed_ms": 9948.61, + "prompt_metrics": { + "chars": 11143, + "bytes_utf8": 11143, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 726, + "bytes_utf8": 726, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 375, + "bytes_utf8": 375, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 300, + "reasoning_output_tokens": 196 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e11822633c754df7dded816d604542500b55870c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 977.213, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fc331f7c423a61c01548fa97092a4429df60895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-eedc-75b1-b68c-cd2fd35f46dd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"Class\\\" and condition_value set to 'DERMASON'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15451,"cached_input_tokens":14720,"output_tokens":300,"reasoning_output_tokens":196}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..967fbf9f1f38d7dc51bdeadad61cda4ac3a9a37a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;","notes":"Uses the provided Grouped Condition Rate template with both group_col and condition_col bound to \"Class\" and condition_value set to 'DERMASON'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3e7f8a92a65279b8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8135fa1e4ddc49e4034f60e1c0f5bce28d4431e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-9e32-7363-b671-e3441708810b"} +{"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 \\\"MajorAxisLength\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"MajorAxisLength\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"MajorAxisLength\\\" IS NOT NULL\\n)\\nSELECT \\\"MajorAxisLength\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"MajorAxisLength\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"MajorAxisLength\\\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15445,"cached_input_tokens":14720,"output_tokens":616,"reasoning_output_tokens":455}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c4265d0aa731fc2cb2d1f8bacfa75280f83fa5c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11082, "bytes_utf8": 11082, "lines": 298, "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": 553, "bytes_utf8": 553, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 14720, "output_tokens": 461, "reasoning_output_tokens": 303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..617d270b4dc721a3911532f85d7dbde31c760280 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_40d7ebbdfed06f28", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 461, + "total_tokens": 15906, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15843.5, + "sql_execution_elapsed_ms_total": 52.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fc18bc22e1fea81a4480e7fa37b77af8ddf025c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:45.167325+00:00", + "ended_at": "2026-05-19T15:44:01.010858+00:00", + "elapsed_ms": 15843.5, + "prompt_metrics": { + "chars": 11082, + "bytes_utf8": 11082, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1266, + "bytes_utf8": 1266, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 553, + "bytes_utf8": 553, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 461, + "reasoning_output_tokens": 303 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58661a581407b3e6f2d6474249bbc72fec710570 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor1.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ShapeFactor1", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..28747ccad6f08cb6b6f1b48edb9b750285542fae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-4925-7981-87f1-861864f4447e"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16080. Please try again in 482ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"ShapeFactor1\\\" AS REAL) AS \\\"ShapeFactor1\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ShapeFactor1\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n)\\nSELECT \\\"ShapeFactor1\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"ShapeFactor1\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"ShapeFactor1\\\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15445,"cached_input_tokens":14720,"output_tokens":461,"reasoning_output_tokens":303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..645785f5803dc9dfd4f6352a72892e0bc7066bb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"ShapeFactor1\" AS REAL) AS \"ShapeFactor1\",\n NTILE(10) OVER (ORDER BY CAST(\"ShapeFactor1\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n10\"\n)\nSELECT \"ShapeFactor1\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"ShapeFactor1\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"ShapeFactor1\" 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_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_40d7ebbdfed06f28/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37a4ed072b5332c6b6e5c9d40a7c47e3014872a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11078, "bytes_utf8": 11078, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 742, "bytes_utf8": 742, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 1101, "reasoning_output_tokens": 886}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..849c5549adffafe508f047e0498f17bd747edceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_41a4d53791e2ca1d", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 1101, + "total_tokens": 16527, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26680.44, + "sql_execution_elapsed_ms_total": 46.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9871866a3aa0c750ef3eb4f456a1ea7cdc267555 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:10.292483+00:00", + "ended_at": "2026-05-19T15:54:36.972953+00:00", + "elapsed_ms": 26680.44, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1160, + "bytes_utf8": 1160, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 742, + "bytes_utf8": 742, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 1101, + "reasoning_output_tokens": 886 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e916a9d2ae8845bb3993587866c7f8465bd3c01d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=Solidity.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "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": 0.989386, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21d7cf180c188d24380fc67225d6b840e37ea6ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-d31c-7f80-9b20-957d8387de2f"} +{"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 \\\"Class\\\",\\n CAST(\\\"Solidity\\\" AS REAL) AS \\\"percentile_measure\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Solidity\\\" AS REAL)\\n ) AS \\\"cdf\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Solidity\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Class\\\",\\n MIN(\\\"percentile_measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cdf\\\" >= 0.95\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the discrete 95th-percentile point per Class. \\\"Solidity\\\" is cast from TEXT to REAL before ordering and aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15426,"cached_input_tokens":14720,"output_tokens":1101,"reasoning_output_tokens":886}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb71c705341252589c627a12d7e3db90113c427c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Class\",\n CAST(\"Solidity\" AS REAL) AS \"percentile_measure\",\n CUME_DIST() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"Solidity\" AS REAL)\n ) AS \"cdf\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Solidity\" IS NOT NULL\n)\nSELECT\n \"Class\",\n MIN(\"percentile_measure\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cdf\" >= 0.95\nGROUP BY \"Class\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the discrete 95th-percentile point per Class. \"Solidity\" is cast from TEXT to REAL before ordering and aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_41a4d53791e2ca1d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aec9339d321d10c4f962b7a4933cdf2d2dcaad4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/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=MinorAxisLength. +Result preview: [{"MinorAxisLength": "460.19849682784007"}, {"MinorAxisLength": "450.92618672259499"}, {"MinorAxisLength": "449.3396784437009"}, {"MinorAxisLength": "447.41832874876803"}, {"MinorAxisLength": "446.04361762614036"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b84ce3b47dd53fae41e62c0d55b71583a5460ea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_4397ebed361eb432 +-- problem_id: v2p_n10_1e92ac615b6fec19 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "MinorAxisLength", + NTILE(10) OVER (ORDER BY CAST("MinorAxisLength" AS REAL) DESC) AS "tail_bucket" + FROM "n10" +) +SELECT "MinorAxisLength" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("MinorAxisLength" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9dcecfee940d3d6a40a633bb50041c8e24480b5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/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 \"MinorAxisLength\",\n NTILE(10) OVER (ORDER BY CAST(\"MinorAxisLength\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n10\"\n)\nSELECT \"MinorAxisLength\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"MinorAxisLength\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"MinorAxisLength\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"MinorAxisLength\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n)\\nSELECT \\\"MinorAxisLength\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"MinorAxisLength\\\" AS REAL) DESC;\", \"columns\": [\"MinorAxisLength\"], \"rows\": [{\"MinorAxisLength\": \"460.19849682784007\"}, {\"MinorAxisLength\": \"450.92618672259499\"}, {\"MinorAxisLength\": \"449.3396784437009\"}, {\"MinorAxisLength\": \"447.41832874876803\"}, {\"MinorAxisLength\": \"446.04361762614036\"}, {\"MinorAxisLength\": \"440.68641801994693\"}, {\"MinorAxisLength\": \"435.83785650491097\"}, {\"MinorAxisLength\": \"432.58941990470811\"}, {\"MinorAxisLength\": \"432.38982129917838\"}, {\"MinorAxisLength\": \"429.96212815092707\"}, {\"MinorAxisLength\": \"428.76215031738161\"}, {\"MinorAxisLength\": \"428.68034063307579\"}, {\"MinorAxisLength\": \"428.4011860362138\"}, {\"MinorAxisLength\": \"427.37012048030778\"}, {\"MinorAxisLength\": \"427.18343588372994\"}, {\"MinorAxisLength\": \"423.52798802406068\"}, {\"MinorAxisLength\": \"422.19890123782096\"}, {\"MinorAxisLength\": \"422.18384625422038\"}, {\"MinorAxisLength\": \"421.5739848500404\"}, {\"MinorAxisLength\": \"421.02801250089021\"}, {\"MinorAxisLength\": \"420.64955289267078\"}, {\"MinorAxisLength\": \"419.99434654264741\"}, {\"MinorAxisLength\": \"417.89892472336112\"}, {\"MinorAxisLength\": \"417.63820085507257\"}, {\"MinorAxisLength\": \"417.5290886065788\"}, {\"MinorAxisLength\": \"416.80535691717205\"}, {\"MinorAxisLength\": \"416.26225260014667\"}, {\"MinorAxisLength\": \"416.13111715152803\"}, {\"MinorAxisLength\": \"414.60746837214572\"}, {\"MinorAxisLength\": \"413.00764012640474\"}, {\"MinorAxisLength\": \"412.92164721129188\"}, {\"MinorAxisLength\": \"412.66391618772462\"}, {\"MinorAxisLength\": \"412.25688091196372\"}, {\"MinorAxisLength\": \"412.15675766520752\"}, {\"MinorAxisLength\": \"412.08144842413026\"}, {\"MinorAxisLength\": \"411.06565203519216\"}, {\"MinorAxisLength\": \"410.55042519529826\"}, {\"MinorAxisLength\": \"410.10044999479481\"}, {\"MinorAxisLength\": \"408.92186927213783\"}, {\"MinorAxisLength\": \"408.8116613018089\"}, {\"MinorAxisLength\": \"408.71466321110523\"}, {\"MinorAxisLength\": \"408.71076126336487\"}, {\"MinorAxisLength\": \"408.56052622015426\"}, {\"MinorAxisLength\": \"408.34256622542654\"}, {\"MinorAxisLength\": \"407.86071557410929\"}, {\"MinorAxisLength\": \"407.46416584200267\"}, {\"MinorAxisLength\": \"406.94029249524453\"}, {\"MinorAxisLength\": \"406.42881124030311\"}, {\"MinorAxisLength\": \"405.88031034596725\"}, {\"MinorAxisLength\": \"405.53724088200994\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..92c38499e92384d809a10fb09caf370d63b28090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:45:28.604891+00:00", + "ended_at": "2026-05-19T15:45:40.802561+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_4397ebed361eb432", + "problem_id": "v2p_n10_1e92ac615b6fec19", + "dataset_id": "n10", + "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=MinorAxisLength.", + "bindings": { + "measure_col": "MinorAxisLength", + "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": 217.031741, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_4397ebed361eb432.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_4397ebed361eb432", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 370, + "total_tokens": 15815, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12166.73, + "sql_execution_elapsed_ms_total": 24.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..00ab5113a55384860b44ff1ec311b35143f5d927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:40.775738+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": 12166.73, "started_at": "2026-05-19T15:45:28.608139+00:00", "ended_at": "2026-05-19T15:45:40.774894+00:00", "prompt_metrics": {"chars": 11089, "bytes_utf8": 11089, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 539, "bytes_utf8": 539, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 14720, "output_tokens": 370, "reasoning_output_tokens": 217}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"MinorAxisLength\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"MinorAxisLength\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n)\\nSELECT \\\"MinorAxisLength\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"MinorAxisLength\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"MinorAxisLength\\\" and num_tiles=10. CAST to REAL is used because the SQLite schema stores this numeric field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..417ed05b1207f4c6857be40eb017ff6bcb560812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_4397ebed361eb432", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 370, + "total_tokens": 15815, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12166.73, + "sql_execution_elapsed_ms_total": 24.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e8faa6daa0181ba7624e844eaa95b3842a91d351 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10848, "bytes_utf8": 10848, "lines": 298, "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": 374, "bytes_utf8": 374, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15381, "cached_input_tokens": 12032, "output_tokens": 329, "reasoning_output_tokens": 220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5bd5116208c36446c2093cec66dc239700863d65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_4479e40914b8971e", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 12032, + "output_tokens": 329, + "total_tokens": 15710, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9586.74, + "sql_execution_elapsed_ms_total": 12.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3edc60f987f0be2201bc8cad1492c62eb05ebd64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:40.726612+00:00", + "ended_at": "2026-05-19T15:59:50.313389+00:00", + "elapsed_ms": 9586.74, + "prompt_metrics": { + "chars": 10848, + "bytes_utf8": 10848, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 718, + "bytes_utf8": 718, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 374, + "bytes_utf8": 374, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15381, + "cached_input_tokens": 12032, + "output_tokens": 329, + "reasoning_output_tokens": 220 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1036121e1084398a015339e0250dd9434a38c48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor3.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ShapeFactor3", + "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": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ae4841f87248f25abb549abea3b71ebc6820598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-ddb2-74d0-8d4b-07f3ea30f926"} +{"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(\\\"ShapeFactor3\\\" AS REAL) <= 0.696006 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col fixed to \\\"ShapeFactor3\\\" and threshold 0.696006; CAST to REAL is applied because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15381,"cached_input_tokens":12032,"output_tokens":329,"reasoning_output_tokens":220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04094c0dd107909d08637f990e2fbd245d4f1fb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf.\nSELECT AVG(CASE WHEN CAST(\"ShapeFactor3\" AS REAL) <= 0.696006 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n10\";","notes":"Used the planned Threshold Rarity CDF template with measure_col fixed to \"ShapeFactor3\" and threshold 0.696006; CAST to REAL is applied because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4479e40914b8971e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1d132fc9cec0c97465b055d44d88f75bd2397f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10913, "bytes_utf8": 10913, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 348, "bytes_utf8": 348, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 325, "reasoning_output_tokens": 234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a54304ec1340c0ec509f3829d802d1a41370331e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_45e39854a4893765", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 325, + "total_tokens": 15715, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14597.54, + "sql_execution_elapsed_ms_total": 9.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b184b7c4b78ced3eeb37e1e979709c859e4ed4da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/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": "2026-05-19T15:28:52.819422+00:00", + "ended_at": "2026-05-19T15:29:07.417033+00:00", + "elapsed_ms": 14597.54, + "prompt_metrics": { + "chars": 10913, + "bytes_utf8": 10913, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 702, + "bytes_utf8": 702, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 348, + "bytes_utf8": 348, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 325, + "reasoning_output_tokens": 234 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..358ce90505a783b23913d77441e46d72467e6f43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=MajorAxisLength.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "MajorAxisLength", + "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": 376.495012, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0bfbe3564a693a2c44849e01e1106cd979317be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-ab77-7ab3-8696-90f30c6416ae"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"MajorAxisLength\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with \\\"Class\\\" as the grouping column and cast \\\"MajorAxisLength\\\" from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":325,"reasoning_output_tokens":234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..442bc94af7990631708eada179c9cbac44802c7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"MajorAxisLength\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;","notes":"Used the required grouped numeric sum template with \"Class\" as the grouping column and cast \"MajorAxisLength\" from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_45e39854a4893765/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bef11dc0ca721e8f5814a6f1673a90feefdb3c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=AspectRation. +Result preview: [{"Class": "DERMASON", "total_measure": 5285.209897300189}, {"Class": "SIRA", "total_measure": 4138.737822391944}, {"Class": "HOROZ", "total_measure": 3906.3576204805577}, {"Class": "CALI", "total_measure": 2825.8707431053163}, {"Class": "SEKER", "total_measure": 2523.983664343942}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e62acc50404d560f6d8c66612c300ace2f7cc106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n10_46f9736c87569a30 +-- problem_id: v2p_n10_d89286a7b64c19aa +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("AspectRation" AS REAL)) AS total_measure +FROM "n10" +GROUP BY "Class" +HAVING SUM(CAST("AspectRation" AS REAL)) > 1.707109 +ORDER BY total_measure DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e31394690c87ba5659a7a81bcac2ee1b4526e313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/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_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"AspectRation\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"AspectRation\" AS REAL)) > 1.707109\nORDER BY total_measure DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"AspectRation\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"AspectRation\\\" AS REAL)) > 1.707109\\nORDER BY total_measure DESC\\nLIMIT 12;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 5285.209897300189}, {\"Class\": \"SIRA\", \"total_measure\": 4138.737822391944}, {\"Class\": \"HOROZ\", \"total_measure\": 3906.3576204805577}, {\"Class\": \"CALI\", \"total_measure\": 2825.8707431053163}, {\"Class\": \"SEKER\", \"total_measure\": 2523.983664343942}, {\"Class\": \"BARBUNYA\", \"total_measure\": 2041.6897498395758}, {\"Class\": \"BOMBAY\", \"total_measure\": 827.6570789445943}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a05d2754039c35b76485d3a5c5fcc433de9e810c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:03:05.871022+00:00", + "ended_at": "2026-05-19T16:03:15.367850+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_46f9736c87569a30", + "problem_id": "v2p_n10_d89286a7b64c19aa", + "dataset_id": "n10", + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "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 Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=AspectRation.", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_46f9736c87569a30.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_46f9736c87569a30", + "api_calls": 0, + "input_tokens": 15435, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 15821, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9477.39, + "sql_execution_elapsed_ms_total": 13.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6bb991699f0d3cf0515f8addfd618ca89585aaf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:15.353020+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": 9477.39, "started_at": "2026-05-19T16:03:05.874724+00:00", "ended_at": "2026-05-19T16:03:15.352145+00:00", "prompt_metrics": {"chars": 11072, "bytes_utf8": 11072, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15435, "cached_input_tokens": 12032, "output_tokens": 386, "reasoning_output_tokens": 263}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"AspectRation\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"AspectRation\\\" AS REAL)) > 1.707109\\nORDER BY total_measure DESC\\nLIMIT 12;\",\"notes\":\"Used the required template with group_col=\\\"Class\\\" and measure_col=\\\"AspectRation\\\". Cast \\\"AspectRation\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b059d55ea12608a53a10186c61480380a5cc9c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_46f9736c87569a30", + "api_calls": 0, + "input_tokens": 15435, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 15821, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9477.39, + "sql_execution_elapsed_ms_total": 13.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d30cd6fd28b75c7d9ac18c8cb8713324768a1cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:52:40.595730+00:00", + "ended_at": "2026-05-19T15:52:47.578536+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_4a5406786fbbbc57", + "problem_id": "v2p_n10_73b26fa7e82a6fc2", + "dataset_id": "n10", + "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=Class, measure_col=EquivDiameter.", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 279.446467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff8cf5c96f890e0e6ed02f5f6f44697746ed6102 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:43.500757+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": 2901.35, "started_at": "2026-05-19T15:52:40.598615+00:00", "ended_at": "2026-05-19T15:52:43.500020+00:00", "prompt_metrics": {"chars": 11086, "bytes_utf8": 11086, "lines": 300, "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\":\"019e40f0-74a8-7d00-9a77-7936914ba74c\"}\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": "2026-05-19T15:52:47.578304+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": 3075.48, "started_at": "2026-05-19T15:52:44.501593+00:00", "ended_at": "2026-05-19T15:52:47.577100+00:00", "prompt_metrics": {"chars": 11086, "bytes_utf8": 11086, "lines": 300, "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\":\"019e40f0-83f1-7442-a44d-7a69dde5c608\"}\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_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..358cb59b9d6007eabeeb0e81f65f4bcd5056a77c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10912, "bytes_utf8": 10912, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 253, "reasoning_output_tokens": 158}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eeaa10091760d22748545e426f532ebfd971537d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_4bd7ed61059acc0c", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 253, + "total_tokens": 15643, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9584.41, + "sql_execution_elapsed_ms_total": 13.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f76b37d9092fdb35d951cc84401e703f46679647 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/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": "2026-05-19T15:29:15.275437+00:00", + "ended_at": "2026-05-19T15:29:24.859883+00:00", + "elapsed_ms": 9584.41, + "prompt_metrics": { + "chars": 10912, + "bytes_utf8": 10912, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 712, + "bytes_utf8": 712, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 358, + "bytes_utf8": 358, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 253, + "reasoning_output_tokens": 158 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9d4d448c0b9b0f116df6fa9b863830430d15f16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=MinorAxisLength.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "MinorAxisLength", + "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": 217.031741, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..17005ce336e1eda58e3c6a897110de075a2a4ccd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-032c-7823-b7c6-fe917d2dd40b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"MinorAxisLength\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"MinorAxisLength\\\"; cast the measure to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":253,"reasoning_output_tokens":158}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b134b4aadaad7ca8d808b4c8f139845f0e64397d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"MinorAxisLength\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;","notes":"Applied the grouped numeric sum template with group_col=\"Class\" and measure_col=\"MinorAxisLength\"; cast the measure 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_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4bd7ed61059acc0c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e600a3377bf1216f226ec5ff997c9052f22bb835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10809, "bytes_utf8": 10809, "lines": 298, "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": 274, "bytes_utf8": 274, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 14720, "output_tokens": 210, "reasoning_output_tokens": 139}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cee360fe678333983083596d13d4849342c8d1ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_50fe46901c61b972", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 14720, + "output_tokens": 210, + "total_tokens": 15571, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21659.43, + "sql_execution_elapsed_ms_total": 5.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..79db37d65cf768d233a4f1af49efb9f7894e4889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/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": "2026-05-19T15:32:54.739634+00:00", + "ended_at": "2026-05-19T15:33:16.399100+00:00", + "elapsed_ms": 21659.43, + "prompt_metrics": { + "chars": 10809, + "bytes_utf8": 10809, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1952, + "bytes_utf8": 1952, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 274, + "bytes_utf8": 274, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15361, + "cached_input_tokens": 14720, + "output_tokens": 210, + "reasoning_output_tokens": 139 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2f2988277caf3096dbd430e902b898b2b25a8c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Class", + "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": 376.495012, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..218e8690f6f8655d5a2f6d7fd18213c7544971ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40de-5c56-7941-98b5-204f96679644"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989572, Requested 15996. Please try again in 167ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15996. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15996. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15996. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS row_count\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"Class\\\" to measure class count distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15361,"cached_input_tokens":14720,"output_tokens":210,"reasoning_output_tokens":139}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a1eadbfe25d4618f4c891717113746533f82049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Class\", COUNT(*) AS row_count\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY row_count DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"Class\" to measure class count distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_50fe46901c61b972/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e5d5302d8504f7f25551a59afe69fc18c92ef5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/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": "2026-05-19T16:03:44.886350+00:00", + "ended_at": "2026-05-19T16:03:47.600480+00:00", + "elapsed_ms": 2714.1, + "returncode": 1, + "prompt_metrics": { + "chars": 11067, + "bytes_utf8": 11067, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef3e70b2719e79081e0e566c131885ad4932d358 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:48.603399+00:00", + "ended_at": "2026-05-19T16:03:51.751614+00:00", + "elapsed_ms": 3148.17, + "returncode": 1, + "prompt_metrics": { + "chars": 11067, + "bytes_utf8": 11067, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbd19ce46c5b5ea96fb49ff542005e87f0bd485d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=ConvexArea.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbd19ce46c5b5ea96fb49ff542005e87f0bd485d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=ConvexArea.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9e143f2668ded4bd2b0ee4bd5c31fe004750be6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-9775-7b73-b69b-b26823eef32f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bb924a3d92ea4fefef8f1b7060b426a0d15b85d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-9775-7b73-b69b-b26823eef32f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..18bd8f0536e3ce0ff57f0d916845377b59b5d365 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-a604-75e2-bfc8-3b183ccc2bf1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fcd386d9d01a71cb2b483e04cd3420ae1bb5649 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-a604-75e2-bfc8-3b183ccc2bf1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_55ed554b3df89ca0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e55ac3685bf3e64f00cf39c90e379260da2babf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/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=Perimeter. +Result preview: [{"Perimeter": 1985.37}, {"Perimeter": 1921.685}, {"Perimeter": 1919.8679999999997}, {"Perimeter": 1895.94}, {"Perimeter": 1884.5569999999998}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d18ec2a9fe5dc1afa89aa33e6ce10f717401a650 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_573f651b0b9ac9c0 +-- problem_id: v2p_n10_095676f1ac7c07fa +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("Perimeter" AS REAL) AS "Perimeter", + NTILE(10) OVER (ORDER BY CAST("Perimeter" AS REAL) DESC) AS "tail_bucket" + FROM "n10" + WHERE "Perimeter" IS NOT NULL +) +SELECT "Perimeter" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "Perimeter" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6f7fd67e826fd793403fbaab45d35e163bc9f1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/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 CAST(\"Perimeter\" AS REAL) AS \"Perimeter\",\n NTILE(10) OVER (ORDER BY CAST(\"Perimeter\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n10\"\n WHERE \"Perimeter\" IS NOT NULL\n)\nSELECT \"Perimeter\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"Perimeter\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"Perimeter\\\" AS REAL) AS \\\"Perimeter\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Perimeter\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Perimeter\\\" IS NOT NULL\\n)\\nSELECT \\\"Perimeter\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Perimeter\\\" DESC;\", \"columns\": [\"Perimeter\"], \"rows\": [{\"Perimeter\": 1985.37}, {\"Perimeter\": 1921.685}, {\"Perimeter\": 1919.8679999999997}, {\"Perimeter\": 1895.94}, {\"Perimeter\": 1884.5569999999998}, {\"Perimeter\": 1869.885}, {\"Perimeter\": 1849.699}, {\"Perimeter\": 1849.3709999999999}, {\"Perimeter\": 1847.94}, {\"Perimeter\": 1845.855}, {\"Perimeter\": 1839.8079999999998}, {\"Perimeter\": 1836.0469999999998}, {\"Perimeter\": 1827.554}, {\"Perimeter\": 1817.2779999999998}, {\"Perimeter\": 1815.0729999999999}, {\"Perimeter\": 1812.571}, {\"Perimeter\": 1812.548}, {\"Perimeter\": 1811.572}, {\"Perimeter\": 1810.955}, {\"Perimeter\": 1802.309}, {\"Perimeter\": 1796.132}, {\"Perimeter\": 1795.5770000000002}, {\"Perimeter\": 1795.1009999999999}, {\"Perimeter\": 1792.381}, {\"Perimeter\": 1787.859}, {\"Perimeter\": 1785.693}, {\"Perimeter\": 1780.9669999999999}, {\"Perimeter\": 1780.349}, {\"Perimeter\": 1779.422}, {\"Perimeter\": 1776.5849999999998}, {\"Perimeter\": 1773.3789999999997}, {\"Perimeter\": 1772.436}, {\"Perimeter\": 1770.662}, {\"Perimeter\": 1770.466}, {\"Perimeter\": 1769.7459999999999}, {\"Perimeter\": 1767.4569999999999}, {\"Perimeter\": 1765.021}, {\"Perimeter\": 1763.6460000000002}, {\"Perimeter\": 1757.418}, {\"Perimeter\": 1755.004}, {\"Perimeter\": 1754.6019999999999}, {\"Perimeter\": 1753.619}, {\"Perimeter\": 1753.363}, {\"Perimeter\": 1752.441}, {\"Perimeter\": 1752.359}, {\"Perimeter\": 1749.634}, {\"Perimeter\": 1748.3319999999999}, {\"Perimeter\": 1747.665}, {\"Perimeter\": 1747.118}, {\"Perimeter\": 1746.6399999999999}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 49.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e1acfd3eaf5acbd7786f90c4c2972fe5f2524343 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:44:53.487517+00:00", + "ended_at": "2026-05-19T15:45:12.472969+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_573f651b0b9ac9c0", + "problem_id": "v2p_n10_095676f1ac7c07fa", + "dataset_id": "n10", + "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=Perimeter.", + "bindings": { + "measure_col": "Perimeter", + "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": 977.213, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_573f651b0b9ac9c0.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_573f651b0b9ac9c0", + "api_calls": 0, + "input_tokens": 15442, + "cached_input_tokens": 12032, + "output_tokens": 528, + "total_tokens": 15970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18928.87, + "sql_execution_elapsed_ms_total": 49.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd73c3e1bf37ce074b4c01449cf2a34d62ea6087 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:12.421152+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": 18928.87, "started_at": "2026-05-19T15:44:53.490917+00:00", "ended_at": "2026-05-19T15:45:12.419822+00:00", "prompt_metrics": {"chars": 11074, "bytes_utf8": 11074, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15442, "cached_input_tokens": 12032, "output_tokens": 528, "reasoning_output_tokens": 352}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"Perimeter\\\" AS REAL) AS \\\"Perimeter\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Perimeter\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Perimeter\\\" IS NOT NULL\\n)\\nSELECT \\\"Perimeter\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Perimeter\\\" DESC;\",\"notes\":\"Applied the provided Quantile Tail Slice template with measure_col bound to \\\"Perimeter\\\" and num_tiles=10. Cast \\\"Perimeter\\\" to REAL because the schema stores numeric-looking values as TEXT, so numeric ordering is required for a correct tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81a269ebc5858b591e599ee7399df92e563e3274 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_573f651b0b9ac9c0", + "api_calls": 0, + "input_tokens": 15442, + "cached_input_tokens": 12032, + "output_tokens": 528, + "total_tokens": 15970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18928.87, + "sql_execution_elapsed_ms_total": 49.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8a643d56ef65b0a8bfb7a5e119ace48eaa1868d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11146, "bytes_utf8": 11146, "lines": 303, "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": 462, "bytes_utf8": 462, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15451, "cached_input_tokens": 14720, "output_tokens": 391, "reasoning_output_tokens": 263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2e518168a8a382492def24e228b5465580f71dda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_59646698666aea7b", + "api_calls": 0, + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 391, + "total_tokens": 15842, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9359.73, + "sql_execution_elapsed_ms_total": 12.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f84e142fcf5edd8f09c0574fc550d883f1842d8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:43.991667+00:00", + "ended_at": "2026-05-19T15:57:53.351437+00:00", + "elapsed_ms": 9359.73, + "prompt_metrics": { + "chars": 11146, + "bytes_utf8": 11146, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 821, + "bytes_utf8": 821, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 462, + "bytes_utf8": 462, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 391, + "reasoning_output_tokens": 263 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..efc42322121dcb748490773000b1bf6fda2b45cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 977.213, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f6534381cddae74c29fdb40afa811eccddb3712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-15c3-7f83-bdab-4a6a0dfe8c8d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Since the grouping column and condition column are the same, the result is 1.0 for the \\\"SIRA\\\" group and 0.0 for all other classes.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15451,"cached_input_tokens":14720,"output_tokens":391,"reasoning_output_tokens":263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9051f8d669333d5464fa9f17ee2df3f1a2a4471 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;","notes":"Uses the required Grouped Condition Rate template with group_col=\"Class\" and condition_col=\"Class\". Since the grouping column and condition column are the same, the result is 1.0 for the \"SIRA\" group and 0.0 for all other classes."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_59646698666aea7b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4734913c52834a85b7da84b92286c116282d9787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/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=Class, measure_col=MajorAxisLength. +Result preview: [{"Class": "BOMBAY", "avg_measure": 593.1520746303186}, {"Class": "CALI", "avg_measure": 409.4995384533272}, {"Class": "HOROZ", "avg_measure": 372.57029007300406}, {"Class": "BARBUNYA", "avg_measure": 370.0442793922777}, {"Class": "SIRA", "avg_measure": 299.3802579836998}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc591cac8efdead1e09007e3afbfcd65b32b1a53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_5a254a048b265795 +-- problem_id: v2p_n10_e127b6b4260fa620 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "Class", + AVG(CAST("MajorAxisLength" AS REAL)) OVER (PARTITION BY "Class") AS avg_measure +FROM "n10" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a704255d9312f4fa3db04451ec53d7670a61817f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/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 \"Class\",\n AVG(CAST(\"MajorAxisLength\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"MajorAxisLength\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"Class\", \"avg_measure\"], \"rows\": [{\"Class\": \"BOMBAY\", \"avg_measure\": 593.1520746303186}, {\"Class\": \"CALI\", \"avg_measure\": 409.4995384533272}, {\"Class\": \"HOROZ\", \"avg_measure\": 372.57029007300406}, {\"Class\": \"BARBUNYA\", \"avg_measure\": 370.0442793922777}, {\"Class\": \"SIRA\", \"avg_measure\": 299.3802579836998}, {\"Class\": \"SEKER\", \"avg_measure\": 251.29195735056248}, {\"Class\": \"DERMASON\", \"avg_measure\": 246.55727891047886}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 50.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d34803ddb159612e8d3e4a12076d57cae3af7f4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:41:09.439021+00:00", + "ended_at": "2026-05-19T15:41:20.930058+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_5a254a048b265795", + "problem_id": "v2p_n10_e127b6b4260fa620", + "dataset_id": "n10", + "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=Class, measure_col=MajorAxisLength.", + "bindings": { + "group_col": "Class", + "measure_col": "MajorAxisLength", + "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": 376.495012, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_d/n10/sql/v2q_n10_5a254a048b265795.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5a254a048b265795", + "api_calls": 0, + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 336, + "total_tokens": 15738, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11430.88, + "sql_execution_elapsed_ms_total": 50.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b78f209648b27fa69454fe6941d058f56cbe798b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:20.873963+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": 11430.88, "started_at": "2026-05-19T15:41:09.441811+00:00", "ended_at": "2026-05-19T15:41:20.872729+00:00", "prompt_metrics": {"chars": 10999, "bytes_utf8": 10999, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15402, "cached_input_tokens": 14720, "output_tokens": 336, "reasoning_output_tokens": 232}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"MajorAxisLength\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"MajorAxisLength\\\". CAST to REAL is applied because the schema stores numeric-looking values as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9cd03ebb5ca244a959cdb185b2d4968fa514e861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5a254a048b265795", + "api_calls": 0, + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 336, + "total_tokens": 15738, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11430.88, + "sql_execution_elapsed_ms_total": 50.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..caf58096d2de74f3d4ffb1bd1d4860ff4013af1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11146, "bytes_utf8": 11146, "lines": 303, "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": 435, "bytes_utf8": 435, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15452, "cached_input_tokens": 14720, "output_tokens": 349, "reasoning_output_tokens": 227}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dece408f3525c81ffc38df45dee5937a31ce3456 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5a526f48aa8b6246", + "api_calls": 0, + "input_tokens": 15452, + "cached_input_tokens": 14720, + "output_tokens": 349, + "total_tokens": 15801, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9311.87, + "sql_execution_elapsed_ms_total": 7.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4a6c05e53995f7cea6777c1e2b13a9e5392be9c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:11.038762+00:00", + "ended_at": "2026-05-19T15:58:20.350668+00:00", + "elapsed_ms": 9311.87, + "prompt_metrics": { + "chars": 11146, + "bytes_utf8": 11146, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 786, + "bytes_utf8": 786, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 435, + "bytes_utf8": 435, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15452, + "cached_input_tokens": 14720, + "output_tokens": 349, + "reasoning_output_tokens": 227 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef138fb8374f2e6a2e2a33f0e74d3016f9aec85a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 217.031741, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9a3139dce13de294321ec244f00cf42ed99a6bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-7f8b-7911-9a7b-6c25ebbcef38"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the grouped condition rate template with both group_col and condition_col bound to \\\"Class\\\" and condition_value set to 'DERMASON'. This yields 1.0 for the DERMASON group and 0.0 for other classes.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15452,"cached_input_tokens":14720,"output_tokens":349,"reasoning_output_tokens":227}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3aab8360e39ebcee608d404010178c663742fb10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;","notes":"Applied the grouped condition rate template with both group_col and condition_col bound to \"Class\" and condition_value set to 'DERMASON'. This yields 1.0 for the DERMASON group and 0.0 for other classes."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a526f48aa8b6246/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f786ef76081e83a44e85a1d1a1fe6bc324fa1d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11149, "bytes_utf8": 11149, "lines": 303, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15452, "cached_input_tokens": 14720, "output_tokens": 331, "reasoning_output_tokens": 229}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8d30f6408580ae0a5e7f572fdcd7c9dd7e45f466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5bb14b20ba25019f", + "api_calls": 0, + "input_tokens": 15452, + "cached_input_tokens": 14720, + "output_tokens": 331, + "total_tokens": 15783, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8938.03, + "sql_execution_elapsed_ms_total": 6.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61e118c0ef08939fbc4cf3cac73b5f55286f14d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:20.364856+00:00", + "ended_at": "2026-05-19T15:58:29.302916+00:00", + "elapsed_ms": 8938.03, + "prompt_metrics": { + "chars": 11149, + "bytes_utf8": 11149, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 723, + "bytes_utf8": 723, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 372, + "bytes_utf8": 372, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15452, + "cached_input_tokens": 14720, + "output_tokens": 331, + "reasoning_output_tokens": 229 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fd229cfc9b08c9609e9bcc6f105c678f7e70a99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 217.031741, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..51cbb286c31853428a5a91337579695bf40758e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-a3da-7862-8b21-02b8926df906"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the planned Grouped Condition Rate template with both group_col and condition_col bound to \\\"Class\\\", using 'SIRA' as the condition value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15452,"cached_input_tokens":14720,"output_tokens":331,"reasoning_output_tokens":229}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfffa6a5fb768c273aad7efcc90c75746b20abbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;","notes":"Applied the planned Grouped Condition Rate template with both group_col and condition_col bound to \"Class\", using 'SIRA' as the condition value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5bb14b20ba25019f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f1aeb70372462e5fac140a57d441b1dde6dc9b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/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=ShapeFactor2. +Result preview: [{"ShapeFactor2": 0.0036649719644516834}, {"ShapeFactor2": 0.0035732405847105544}, {"ShapeFactor2": 0.003563623712100963}, {"ShapeFactor2": 0.003545181597219614}, {"ShapeFactor2": 0.0035064166319679177}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d890a019fe10dff7d0840c8306b92fda7cc55a19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_5ce17ea803dda51d +-- problem_id: v2p_n10_ca08e01841d2f064 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("ShapeFactor2" AS REAL) AS "ShapeFactor2", + NTILE(10) OVER (ORDER BY CAST("ShapeFactor2" AS REAL) DESC) AS tail_bucket + FROM "n10" +) +SELECT "ShapeFactor2" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "ShapeFactor2" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3949e8ae9477c9561edd09f8b2ba41c30a30b33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"ShapeFactor2\" AS REAL) AS \"ShapeFactor2\",\n NTILE(10) OVER (ORDER BY CAST(\"ShapeFactor2\" AS REAL) DESC) AS tail_bucket\n FROM \"n10\"\n)\nSELECT \"ShapeFactor2\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"ShapeFactor2\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"ShapeFactor2\\\" AS REAL) AS \\\"ShapeFactor2\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ShapeFactor2\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n10\\\"\\n)\\nSELECT \\\"ShapeFactor2\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"ShapeFactor2\\\" DESC;\", \"columns\": [\"ShapeFactor2\"], \"rows\": [{\"ShapeFactor2\": 0.0036649719644516834}, {\"ShapeFactor2\": 0.0035732405847105544}, {\"ShapeFactor2\": 0.003563623712100963}, {\"ShapeFactor2\": 0.003545181597219614}, {\"ShapeFactor2\": 0.0035064166319679177}, {\"ShapeFactor2\": 0.0034702313432594953}, {\"ShapeFactor2\": 0.0034348715811599235}, {\"ShapeFactor2\": 0.003418781285782501}, {\"ShapeFactor2\": 0.003412362640213097}, {\"ShapeFactor2\": 0.0033926372323237527}, {\"ShapeFactor2\": 0.003378390381493253}, {\"ShapeFactor2\": 0.003349716390830268}, {\"ShapeFactor2\": 0.003333983668368092}, {\"ShapeFactor2\": 0.003327167369712744}, {\"ShapeFactor2\": 0.003323160065993113}, {\"ShapeFactor2\": 0.0033162175205669305}, {\"ShapeFactor2\": 0.003315826051746886}, {\"ShapeFactor2\": 0.0033120806249210006}, {\"ShapeFactor2\": 0.0033043003832171555}, {\"ShapeFactor2\": 0.0033038271879593335}, {\"ShapeFactor2\": 0.003300366434439864}, {\"ShapeFactor2\": 0.0033002151924568404}, {\"ShapeFactor2\": 0.0032993579871328487}, {\"ShapeFactor2\": 0.0032766689712814046}, {\"ShapeFactor2\": 0.003276262623582868}, {\"ShapeFactor2\": 0.0032759881193191423}, {\"ShapeFactor2\": 0.003273606572240893}, {\"ShapeFactor2\": 0.0032725369697307635}, {\"ShapeFactor2\": 0.0032670098784518364}, {\"ShapeFactor2\": 0.00326336733744238}, {\"ShapeFactor2\": 0.0032612455172040633}, {\"ShapeFactor2\": 0.003258989445688676}, {\"ShapeFactor2\": 0.0032537182447267225}, {\"ShapeFactor2\": 0.003242016245376514}, {\"ShapeFactor2\": 0.0032413145548186345}, {\"ShapeFactor2\": 0.003240997088830773}, {\"ShapeFactor2\": 0.003238865504317965}, {\"ShapeFactor2\": 0.0032338026694238697}, {\"ShapeFactor2\": 0.0032281269406297703}, {\"ShapeFactor2\": 0.003227429112568851}, {\"ShapeFactor2\": 0.0032270515447652953}, {\"ShapeFactor2\": 0.0032269206969260905}, {\"ShapeFactor2\": 0.003225083609932131}, {\"ShapeFactor2\": 0.0032235675467472726}, {\"ShapeFactor2\": 0.0032232181461730154}, {\"ShapeFactor2\": 0.0032193843900645276}, {\"ShapeFactor2\": 0.0032174209554769635}, {\"ShapeFactor2\": 0.0032152858675912666}, {\"ShapeFactor2\": 0.003214562079390055}, {\"ShapeFactor2\": 0.003214459307980505}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 53.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..283722c2c17c6bb612330f6d80ad75ca50e97432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:44:01.067731+00:00", + "ended_at": "2026-05-19T15:44:15.257876+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_5ce17ea803dda51d", + "problem_id": "v2p_n10_ca08e01841d2f064", + "dataset_id": "n10", + "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=ShapeFactor2.", + "bindings": { + "measure_col": "ShapeFactor2", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_d/n10/sql/v2q_n10_5ce17ea803dda51d.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5ce17ea803dda51d", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 435, + "total_tokens": 15880, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14131.59, + "sql_execution_elapsed_ms_total": 53.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66801fbb7c5ebfc21a0b43aab49430b858b21f93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:15.202916+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": 14131.59, "started_at": "2026-05-19T15:44:01.070549+00:00", "ended_at": "2026-05-19T15:44:15.202164+00:00", "prompt_metrics": {"chars": 11080, "bytes_utf8": 11080, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 547, "bytes_utf8": 547, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 14720, "output_tokens": 435, "reasoning_output_tokens": 285}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"ShapeFactor2\\\" AS REAL) AS \\\"ShapeFactor2\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ShapeFactor2\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n10\\\"\\n)\\nSELECT \\\"ShapeFactor2\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"ShapeFactor2\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template on \\\"ShapeFactor2\\\" with 10 tiles. Because the SQLite column is stored as TEXT, the query casts it to REAL so tail selection and ordering are numeric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e192b2dbc273eeb1f8f47811939e97d7f85e08b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5ce17ea803dda51d", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 435, + "total_tokens": 15880, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14131.59, + "sql_execution_elapsed_ms_total": 53.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fa6d61aaeb7e5a3917480537cdefaad9fb108dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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=Class, measure_col=EquivDiameter. +Result preview: [{"Class": "BOMBAY", "percentile_measure": 522.6758999963655}, {"Class": "CALI", "percentile_measure": 342.66703561119823}, {"Class": "BARBUNYA", "percentile_measure": 333.10892075134325}, {"Class": "HOROZ", "percentile_measure": 288.8320069012307}, {"Class": "SIRA", "percentile_measure": 258.2213812182015}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e2b7e35b0d2cbfeeb4b724eff4e0420895613f78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/generated_sql.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_5cf20ecaf82abe4c +-- problem_id: v2p_n10_cf4557eda33594d2 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Class", + CAST("EquivDiameter" AS REAL) AS "EquivDiameter", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY CAST("EquivDiameter" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Class" + ) AS "cnt" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "EquivDiameter" IS NOT NULL +), +"percentile_pick" AS ( + SELECT + "Class", + "EquivDiameter" AS "percentile_measure" + FROM "ranked" + WHERE "rn" = CAST(((95 * "cnt") + 99) / 100 AS INTEGER) +) +SELECT + "Class", + "percentile_measure" +FROM "percentile_pick" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b83b747c3c17b3df5b436e92593559fe28ce6f63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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 \"Class\",\n CAST(\"EquivDiameter\" AS REAL) AS \"EquivDiameter\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"EquivDiameter\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"EquivDiameter\" IS NOT NULL\n),\n\"percentile_pick\" AS (\n SELECT\n \"Class\",\n \"EquivDiameter\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER)\n)\nSELECT\n \"Class\",\n \"percentile_measure\"\nFROM \"percentile_pick\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"EquivDiameter\\\" AS REAL) AS \\\"EquivDiameter\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"EquivDiameter\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"EquivDiameter\\\" IS NOT NULL\\n),\\n\\\"percentile_pick\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"EquivDiameter\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_pick\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"BOMBAY\", \"percentile_measure\": 522.6758999963655}, {\"Class\": \"CALI\", \"percentile_measure\": 342.66703561119823}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 333.10892075134325}, {\"Class\": \"HOROZ\", \"percentile_measure\": 288.8320069012307}, {\"Class\": \"SIRA\", \"percentile_measure\": 258.2213812182015}, {\"Class\": \"SEKER\", \"percentile_measure\": 248.94254027966892}, {\"Class\": \"DERMASON\", \"percentile_measure\": 225.68429610418335}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 33.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cfa02239934c8d8f355bc22dd8dd5f64b8d36b93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:52:47.579390+00:00", + "ended_at": "2026-05-19T15:53:20.758583+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_5cf20ecaf82abe4c", + "problem_id": "v2p_n10_cf4557eda33594d2", + "dataset_id": "n10", + "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=Class, measure_col=EquivDiameter.", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "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": 259.029754, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_5cf20ecaf82abe4c.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5cf20ecaf82abe4c", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 1822, + "total_tokens": 17250, + "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": 32135.29, + "sql_execution_elapsed_ms_total": 33.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee8071d323bdd33a2f80ff150cb4595003173dee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:51.012470+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": 3427.6, "started_at": "2026-05-19T15:52:47.583959+00:00", "ended_at": "2026-05-19T15:52:51.011592+00:00", "prompt_metrics": {"chars": 11090, "bytes_utf8": 11090, "lines": 300, "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\":\"019e40f0-8fef-7aa2-9775-de59385cac90\"}\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": "2026-05-19T15:53:20.722753+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": 28707.69, "started_at": "2026-05-19T15:52:52.014299+00:00", "ended_at": "2026-05-19T15:53:20.722041+00:00", "prompt_metrics": {"chars": 11090, "bytes_utf8": 11090, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 916, "bytes_utf8": 916, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 1822, "reasoning_output_tokens": 1550}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"EquivDiameter\\\" AS REAL) AS \\\"EquivDiameter\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"EquivDiameter\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"EquivDiameter\\\" IS NOT NULL\\n),\\n\\\"percentile_pick\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"EquivDiameter\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_pick\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query uses the nearest-rank 95th percentile per Class and casts \\\"EquivDiameter\\\" from TEXT to REAL before ordering.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7a213139b9238b3c2db8d669ce566cf917db07ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5cf20ecaf82abe4c", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 1822, + "total_tokens": 17250, + "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": 32135.29, + "sql_execution_elapsed_ms_total": 33.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..59a7e4c0c798f8a72fcfd0ab12b2f2758c155165 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11084, "bytes_utf8": 11084, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1569, "bytes_utf8": 1569, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 12032, "output_tokens": 1009, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ffa80e73ce3a1dc4333a202823a228372c0c161b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5de0b0410a287e03", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 12032, + "output_tokens": 1009, + "total_tokens": 16437, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17986.25, + "sql_execution_elapsed_ms_total": 63.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..36c121addebb5ecf2dc3b078a4f591f362dab80b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/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": "2026-05-19T15:49:38.308772+00:00", + "ended_at": "2026-05-19T15:49:56.295059+00:00", + "elapsed_ms": 17986.25, + "prompt_metrics": { + "chars": 11084, + "bytes_utf8": 11084, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2133, + "bytes_utf8": 2133, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1569, + "bytes_utf8": 1569, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15428, + "cached_input_tokens": 12032, + "output_tokens": 1009, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1b83ac47c9bdfb8f025c672580f9ee8551b5c22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=AspectRation.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "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": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25ff4d0993ec3d259795f26d14298685afe8e788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-ac92-7de2-bac8-a475492eff45"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"AspectRation\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"AspectRation\\\" IS NOT NULL\\n AND TRIM(\\\"AspectRation\\\") <> ''\\n),\\n\\\"stats\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"n\\\",\\n (1.0 + (COUNT(*) - 1) * 0.95) AS \\\"pos\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"Class\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\"\\n FROM \\\"base\\\"\\n)\\nSELECT\\n s.\\\"Class\\\",\\n CASE\\n WHEN CAST(s.\\\"pos\\\" AS INTEGER) = s.\\\"pos\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = CAST(s.\\\"pos\\\" AS INTEGER) THEN o.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = CAST(s.\\\"pos\\\" AS INTEGER) THEN o.\\\"measure_value\\\" END) +\\n (s.\\\"pos\\\" - CAST(s.\\\"pos\\\" AS INTEGER)) * (\\n MAX(CASE WHEN o.\\\"rn\\\" = CAST(s.\\\"pos\\\" AS INTEGER) + 1 THEN o.\\\"measure_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = CAST(s.\\\"pos\\\" AS INTEGER) THEN o.\\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"stats\\\" AS s\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"Class\\\" = s.\\\"Class\\\"\\nGROUP BY s.\\\"Class\\\", s.\\\"pos\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile per \\\"Class\\\" using window functions and linear interpolation. \\\"AspectRation\\\" is cast from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":12032,"output_tokens":1009,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..27803a32f66627ad961e596e010fb1f803da5be2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"Class\",\n CAST(\"AspectRation\" AS REAL) AS \"measure_value\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"AspectRation\" IS NOT NULL\n AND TRIM(\"AspectRation\") <> ''\n),\n\"stats\" AS (\n SELECT\n \"Class\",\n COUNT(*) AS \"n\",\n (1.0 + (COUNT(*) - 1) * 0.95) AS \"pos\"\n FROM \"base\"\n GROUP BY \"Class\"\n HAVING COUNT(*) >= 5\n),\n\"ordered\" AS (\n SELECT\n \"Class\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY \"measure_value\"\n ) AS \"rn\"\n FROM \"base\"\n)\nSELECT\n s.\"Class\",\n CASE\n WHEN CAST(s.\"pos\" AS INTEGER) = s.\"pos\" THEN\n MAX(CASE WHEN o.\"rn\" = CAST(s.\"pos\" AS INTEGER) THEN o.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = CAST(s.\"pos\" AS INTEGER) THEN o.\"measure_value\" END) +\n (s.\"pos\" - CAST(s.\"pos\" AS INTEGER)) * (\n MAX(CASE WHEN o.\"rn\" = CAST(s.\"pos\" AS INTEGER) + 1 THEN o.\"measure_value\" END) -\n MAX(CASE WHEN o.\"rn\" = CAST(s.\"pos\" AS INTEGER) THEN o.\"measure_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"stats\" AS s\nJOIN \"ordered\" AS o\n ON o.\"Class\" = s.\"Class\"\nGROUP BY s.\"Class\", s.\"pos\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile per \"Class\" using window functions and linear interpolation. \"AspectRation\" is cast from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5de0b0410a287e03/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..14ca6da96ba39c4347fe1d2cb9b9b0c04cdcfe7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/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=MajorAxisLength. +Result preview: [{"empirical_cdf_at_threshold": 0.7499816325031224}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f49119a8a921fcc95ed2ea0dbf78abf7f750f664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_5ea9b134cdcae430 +-- problem_id: v2p_n10_6c876397a68cd088 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("MajorAxisLength" AS REAL) <= 376.495012 THEN 1.0 ELSE 0.0 END) AS "empirical_cdf_at_threshold" +FROM "n10"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c8289e1e66a787e6281a6da11a546dbad332391 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"MajorAxisLength\" AS REAL) <= 376.495012 THEN 1.0 ELSE 0.0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n10\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"MajorAxisLength\\\" AS REAL) <= 376.495012 THEN 1.0 ELSE 0.0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499816325031224}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..222c59fa9970baf24477a063f2c7cb8bff193bda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:00:18.064896+00:00", + "ended_at": "2026-05-19T16:00:30.267321+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_5ea9b134cdcae430", + "problem_id": "v2p_n10_6c876397a68cd088", + "dataset_id": "n10", + "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=MajorAxisLength.", + "bindings": { + "measure_col": "MajorAxisLength", + "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": 376.495012, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_5ea9b134cdcae430.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5ea9b134cdcae430", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 12032, + "output_tokens": 595, + "total_tokens": 15976, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12190.97, + "sql_execution_elapsed_ms_total": 6.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..933a5a05668f27976d905b5dcb2f5c859a8ad352 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:30.259028+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": 12190.97, "started_at": "2026-05-19T16:00:18.067297+00:00", "ended_at": "2026-05-19T16:00:30.258293+00:00", "prompt_metrics": {"chars": 10856, "bytes_utf8": 10856, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15381, "cached_input_tokens": 12032, "output_tokens": 595, "reasoning_output_tokens": 493}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"MajorAxisLength\\\" AS REAL) <= 376.495012 THEN 1.0 ELSE 0.0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\",\"notes\":\"Applied tpl_threshold_rarity_cdf with measure_col bound to \\\"MajorAxisLength\\\" and cast to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d944a581af8d6e63140b8b65fdbc613e3d01616a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_5ea9b134cdcae430", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 12032, + "output_tokens": 595, + "total_tokens": 15976, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12190.97, + "sql_execution_elapsed_ms_total": 6.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c00794e639b527f60b8ae6f2a7a0ff6377a5fc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11072, "bytes_utf8": 11072, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 11072, "bytes_utf8": 11072, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1767, "bytes_utf8": 1767, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15424, "cached_input_tokens": 14720, "output_tokens": 1119, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cf8fc209e6c921383ef6e75cc09857a6d2cf8d43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6084e86613f7afdd", + "api_calls": 0, + "input_tokens": 15424, + "cached_input_tokens": 14720, + "output_tokens": 1119, + "total_tokens": 16543, + "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": 22478.48, + "sql_execution_elapsed_ms_total": 65.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c1f67fb658c02302faad0499ba7231fc4c44205a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/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": "2026-05-19T15:53:20.762476+00:00", + "ended_at": "2026-05-19T15:53:23.757866+00:00", + "elapsed_ms": 2995.36, + "returncode": 1, + "prompt_metrics": { + "chars": 11072, + "bytes_utf8": 11072, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e7bfb4310cd08919269fe7bac14e75b7baed47a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:24.760416+00:00", + "ended_at": "2026-05-19T15:53:44.243586+00:00", + "elapsed_ms": 19483.12, + "prompt_metrics": { + "chars": 11072, + "bytes_utf8": 11072, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2389, + "bytes_utf8": 2389, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1767, + "bytes_utf8": 1767, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15424, + "cached_input_tokens": 14720, + "output_tokens": 1119, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..214154efcbc9542ae4f1e4a3c7d2194e0f1fc023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=Extent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..214154efcbc9542ae4f1e4a3c7d2194e0f1fc023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=Extent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..07bcf5c4636b2ac6f59ae358a06416b022851b75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-1197-7391-8b8d-52eb1c585341"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac4f9178b98147cd943859cf636f9328c71d9bc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-1197-7391-8b8d-52eb1c585341"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b58da8a85fd2b8eee0af6c316ead16b6454668c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-2145-7d12-a7b4-46ab2443a53b"} +{"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 \\\"Class\\\" AS \\\"group_col\\\",\\n CAST(\\\"Extent\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Extent\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Extent\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n (1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\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) + 1\\n ELSE CAST(1.0 + (0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n l.\\\"measure\\\" AS \\\"lower_val\\\",\\n u.\\\"measure\\\" AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS l\\n ON l.\\\"group_col\\\" = p.\\\"group_col\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ranked\\\" AS u\\n ON u.\\\"group_col\\\" = p.\\\"group_col\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"Class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.95 percentile per \\\"Class\\\" for \\\"Extent\\\" using window functions and linear interpolation on CAST(\\\"Extent\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15424,"cached_input_tokens":14720,"output_tokens":1119,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..64b95003d985ff2c655e8927a83acf27c86ba8c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Class\" AS \"group_col\",\n CAST(\"Extent\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"Extent\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Extent\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"group_col\",\n (1.0 + (0.95 * (\"cnt\" - 1))) AS \"pos\",\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) + 1\n ELSE CAST(1.0 + (0.95 * (\"cnt\" - 1)) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n p.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n l.\"measure\" AS \"lower_val\",\n u.\"measure\" AS \"upper_val\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS l\n ON l.\"group_col\" = p.\"group_col\"\n AND l.\"rn\" = p.\"lower_rn\"\n JOIN \"ranked\" AS u\n ON u.\"group_col\" = p.\"group_col\"\n AND u.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"Class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + ((\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\"))\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.95 percentile per \"Class\" for \"Extent\" using window functions and linear interpolation on CAST(\"Extent\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6084e86613f7afdd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f29627fbf43d00a7f1f6b01541db2cddcd2f3765 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/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=Class, measure_col=Extent. +Result preview: [{"Class": "DERMASON", "group_value": 2669.97175479932}, {"Class": "SIRA", "group_value": 1975.5363583206529}, {"Class": "SEKER", "group_value": 1564.1838618702911}, {"Class": "HOROZ", "group_value": 1361.9251143416818}, {"Class": "CALI", "group_value": 1237.093617855214}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4ea05be2edd1f2eb17b2c3eceed3294a75acfb31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_614b210b268234a1 +-- problem_id: v2p_n10_475d4edc8b128634 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Class", SUM(CAST("Extent" AS REAL)) AS group_value + FROM "n10" + GROUP BY "Class" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Class", 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_d/n10/artifacts/v2q_n10_614b210b268234a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9faac353cf0bbf15283cabf6f4aa5d75b6560a45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/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 \"Class\", SUM(CAST(\"Extent\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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 \\\"Class\\\", SUM(CAST(\\\"Extent\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"DERMASON\", \"group_value\": 2669.97175479932}, {\"Class\": \"SIRA\", \"group_value\": 1975.5363583206529}, {\"Class\": \"SEKER\", \"group_value\": 1564.1838618702911}, {\"Class\": \"HOROZ\", \"group_value\": 1361.9251143416818}, {\"Class\": \"CALI\", \"group_value\": 1237.093617855214}, {\"Class\": \"BARBUNYA\", \"group_value\": 990.5384966784937}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 22.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..60b193cb8284cc19d70bb2dfb2a8543b756da72e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:45:53.972727+00:00", + "ended_at": "2026-05-19T15:46:05.625965+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_614b210b268234a1", + "problem_id": "v2p_n10_475d4edc8b128634", + "dataset_id": "n10", + "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=Class, measure_col=Extent.", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "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": 0.778107, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_614b210b268234a1.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_614b210b268234a1", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 403, + "total_tokens": 15927, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11621.07, + "sql_execution_elapsed_ms_total": 22.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15bc2ce1f857536428d1a348a2f91f23fc279866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:05.599929+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11621.07, "started_at": "2026-05-19T15:45:53.977341+00:00", "ended_at": "2026-05-19T15:46:05.598445+00:00", "prompt_metrics": {"chars": 11450, "bytes_utf8": 11450, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 590, "bytes_utf8": 590, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 14720, "output_tokens": 403, "reasoning_output_tokens": 244}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"Extent\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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 bound to \\\"Class\\\" and measure_col bound to \\\"Extent\\\". Cast \\\"Extent\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..234c0664626fd06147d45e88453856457b0a43de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_614b210b268234a1", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 403, + "total_tokens": 15927, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11621.07, + "sql_execution_elapsed_ms_total": 22.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f74288c14687f0af55f6a6592b9ad92a8a656a12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:12.262535+00:00", + "ended_at": "2026-05-19T16:01:15.137741+00:00", + "elapsed_ms": 2875.17, + "returncode": 1, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f792a22efd38775bab15ad5cd0fc43a2e7d7707 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:16.140538+00:00", + "ended_at": "2026-05-19T16:01:19.402952+00:00", + "elapsed_ms": 3262.37, + "returncode": 1, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..05ea1b743c802c08f775ce4a844e65cc7eae71fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..05ea1b743c802c08f775ce4a844e65cc7eae71fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..680d5fdcd3e1f7b6c447618a2aa0ab9a7655a94a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-436d-72a0-aff5-8d2c4d438831"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..08f72a16bd7a9b26d6733bce625edc56770416e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-436d-72a0-aff5-8d2c4d438831"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83d7b54e3290510e1cf803243144f01a5102e157 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-5292-7831-9551-e41b3c622a01"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2208c43c26e4ce27bb315aa5fcd1a7e4dcc0a67a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-5292-7831-9551-e41b3c622a01"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62b3769b1bf5e06e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..702462896c664d58c6df7d698f122c1c470156dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:46.391067+00:00", + "ended_at": "2026-05-19T16:01:49.797415+00:00", + "elapsed_ms": 3406.33, + "returncode": 1, + "prompt_metrics": { + "chars": 10885, + "bytes_utf8": 10885, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f6e426e6861a4cd1fd6732d2cb527e406a8e1286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:50.799551+00:00", + "ended_at": "2026-05-19T16:01:54.989043+00:00", + "elapsed_ms": 4189.44, + "returncode": 1, + "prompt_metrics": { + "chars": 10885, + "bytes_utf8": 10885, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28913cc7f8b8824324f8ae99556bbe4de928ae57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.83427, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..28913cc7f8b8824324f8ae99556bbe4de928ae57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.83427, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cad0a9f8c66b06b42164cf9eac47e6059686beb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-c8b1-7a11-b747-1bcf16890e8c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17b8d341008f4b3de3e1197c8db57fcdde8ad66d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-c8b1-7a11-b747-1bcf16890e8c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe2578ee2d91af7d3b0de3f0c6cf9d64420ddd1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-d9e2-7e40-9c4c-23ec19fbeebf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..81cbb8ec5753245643c0824a5699cad81c11dff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-d9e2-7e40-9c4c-23ec19fbeebf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_62ed84b8514b004c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5cf2d366a4ebd4c56ae2c90455c9bb033c12dd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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=Class, measure_col=ShapeFactor1. +Result preview: [{"Class": "DERMASON", "percentile_measure": 0.008804268716298186}, {"Class": "HOROZ", "percentile_measure": 0.007931717747410015}, {"Class": "SIRA", "percentile_measure": 0.007293190204076346}, {"Class": "SEKER", "percentile_measure": 0.006817830104037576}, {"Class": "BARBUNYA", "percentile_measure": 0.006150997183380105}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ab4739fce867a366cdbc12faf908fe291fcc358b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/generated_sql.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_64c48663725f74f4 +-- problem_id: v2p_n10_f3cb26f084b52e88 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Class", + CAST("ShapeFactor1" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY CAST("ShapeFactor1" AS REAL) + ) AS "pos", + COUNT(*) OVER (PARTITION BY "Class") AS "n" + FROM "n10" + WHERE "ShapeFactor1" IS NOT NULL +), +"params" AS ( + SELECT + "Class", + "n", + (1.0 + 0.95 * ("n" - 1)) AS "rn" + FROM "ordered" + GROUP BY "Class", "n" + HAVING "n" >= 5 +), +"bounds" AS ( + SELECT + "Class", + "rn", + CAST("rn" AS INTEGER) AS "lower_pos", + CASE + WHEN "rn" = CAST("rn" AS INTEGER) THEN CAST("rn" AS INTEGER) + ELSE CAST("rn" AS INTEGER) + 1 + END AS "upper_pos" + FROM "params" +) +SELECT + b."Class", + CASE + WHEN b."lower_pos" = b."upper_pos" THEN + MAX(CASE WHEN o."pos" = b."lower_pos" THEN o."measure_value" END) + ELSE + (b."upper_pos" - b."rn") * MAX(CASE WHEN o."pos" = b."lower_pos" THEN o."measure_value" END) + + (b."rn" - b."lower_pos") * MAX(CASE WHEN o."pos" = b."upper_pos" THEN o."measure_value" END) + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Class" = b."Class" +GROUP BY b."Class", b."rn", b."lower_pos", b."upper_pos" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b7a2440ffc9531225c956783b081836383f2c0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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 \"Class\",\n CAST(\"ShapeFactor1\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"ShapeFactor1\" AS REAL)\n ) AS \"pos\",\n COUNT(*) OVER (PARTITION BY \"Class\") AS \"n\"\n FROM \"n10\"\n WHERE \"ShapeFactor1\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"Class\",\n \"n\",\n (1.0 + 0.95 * (\"n\" - 1)) AS \"rn\"\n FROM \"ordered\"\n GROUP BY \"Class\", \"n\"\n HAVING \"n\" >= 5\n),\n\"bounds\" AS (\n SELECT\n \"Class\",\n \"rn\",\n CAST(\"rn\" AS INTEGER) AS \"lower_pos\",\n CASE\n WHEN \"rn\" = CAST(\"rn\" AS INTEGER) THEN CAST(\"rn\" AS INTEGER)\n ELSE CAST(\"rn\" AS INTEGER) + 1\n END AS \"upper_pos\"\n FROM \"params\"\n)\nSELECT\n b.\"Class\",\n CASE\n WHEN b.\"lower_pos\" = b.\"upper_pos\" THEN\n MAX(CASE WHEN o.\"pos\" = b.\"lower_pos\" THEN o.\"measure_value\" END)\n ELSE\n (b.\"upper_pos\" - b.\"rn\") * MAX(CASE WHEN o.\"pos\" = b.\"lower_pos\" THEN o.\"measure_value\" END) +\n (b.\"rn\" - b.\"lower_pos\") * MAX(CASE WHEN o.\"pos\" = b.\"upper_pos\" THEN o.\"measure_value\" END)\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"Class\" = b.\"Class\"\nGROUP BY b.\"Class\", b.\"rn\", b.\"lower_pos\", b.\"upper_pos\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"ShapeFactor1\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"ShapeFactor1\\\" AS REAL)\\n ) AS \\\"pos\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Class\\\") AS \\\"n\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"ShapeFactor1\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"n\\\",\\n (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Class\\\", \\\"n\\\"\\n HAVING \\\"n\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"rn\\\",\\n CAST(\\\"rn\\\" AS INTEGER) AS \\\"lower_pos\\\",\\n CASE\\n WHEN \\\"rn\\\" = CAST(\\\"rn\\\" AS INTEGER) THEN CAST(\\\"rn\\\" AS INTEGER)\\n ELSE CAST(\\\"rn\\\" AS INTEGER) + 1\\n END AS \\\"upper_pos\\\"\\n FROM \\\"params\\\"\\n)\\nSELECT\\n b.\\\"Class\\\",\\n CASE\\n WHEN b.\\\"lower_pos\\\" = b.\\\"upper_pos\\\" THEN\\n MAX(CASE WHEN o.\\\"pos\\\" = b.\\\"lower_pos\\\" THEN o.\\\"measure_value\\\" END)\\n ELSE\\n (b.\\\"upper_pos\\\" - b.\\\"rn\\\") * MAX(CASE WHEN o.\\\"pos\\\" = b.\\\"lower_pos\\\" THEN o.\\\"measure_value\\\" END) +\\n (b.\\\"rn\\\" - b.\\\"lower_pos\\\") * MAX(CASE WHEN o.\\\"pos\\\" = b.\\\"upper_pos\\\" THEN o.\\\"measure_value\\\" END)\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"Class\\\" = b.\\\"Class\\\"\\nGROUP BY b.\\\"Class\\\", b.\\\"rn\\\", b.\\\"lower_pos\\\", b.\\\"upper_pos\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"percentile_measure\": 0.008804268716298186}, {\"Class\": \"HOROZ\", \"percentile_measure\": 0.007931717747410015}, {\"Class\": \"SIRA\", \"percentile_measure\": 0.007293190204076346}, {\"Class\": \"SEKER\", \"percentile_measure\": 0.006817830104037576}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 0.006150997183380105}, {\"Class\": \"CALI\", \"percentile_measure\": 0.005996940975193325}, {\"Class\": \"BOMBAY\", \"percentile_measure\": 0.003755064472264586}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 83.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3eb519271c33f8af4726d58013538db605534b7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:56:07.464003+00:00", + "ended_at": "2026-05-19T15:56:48.581339+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_64c48663725f74f4", + "problem_id": "v2p_n10_f3cb26f084b52e88", + "dataset_id": "n10", + "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=Class, measure_col=ShapeFactor1.", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor1", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_64c48663725f74f4.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_64c48663725f74f4", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2442, + "total_tokens": 17870, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 41027.45, + "sql_execution_elapsed_ms_total": 83.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc05578e9f87352c5cecdcabd9460087d2b277be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:48.495196+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": 41027.45, "started_at": "2026-05-19T15:56:07.466161+00:00", "ended_at": "2026-05-19T15:56:48.493639+00:00", "prompt_metrics": {"chars": 11084, "bytes_utf8": 11084, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1612, "bytes_utf8": 1612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 2442, "reasoning_output_tokens": 1888}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"ShapeFactor1\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"ShapeFactor1\\\" AS REAL)\\n ) AS \\\"pos\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Class\\\") AS \\\"n\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"ShapeFactor1\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"n\\\",\\n (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Class\\\", \\\"n\\\"\\n HAVING \\\"n\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"rn\\\",\\n CAST(\\\"rn\\\" AS INTEGER) AS \\\"lower_pos\\\",\\n CASE\\n WHEN \\\"rn\\\" = CAST(\\\"rn\\\" AS INTEGER) THEN CAST(\\\"rn\\\" AS INTEGER)\\n ELSE CAST(\\\"rn\\\" AS INTEGER) + 1\\n END AS \\\"upper_pos\\\"\\n FROM \\\"params\\\"\\n)\\nSELECT\\n b.\\\"Class\\\",\\n CASE\\n WHEN b.\\\"lower_pos\\\" = b.\\\"upper_pos\\\" THEN\\n MAX(CASE WHEN o.\\\"pos\\\" = b.\\\"lower_pos\\\" THEN o.\\\"measure_value\\\" END)\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5885a26d1f2bed19dee7d659744b491e092e5708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_64c48663725f74f4", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2442, + "total_tokens": 17870, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 41027.45, + "sql_execution_elapsed_ms_total": 83.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f36b37b056d271e637bf87690a8963039c0f94fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/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=Class, measure_col=ConvexArea. +Result preview: [{"Class": "CALI", "total_measure": 125002260.0}, {"Class": "SIRA", "total_measure": 119339891.0}, {"Class": "DERMASON", "total_measure": 115239451.0}, {"Class": "HOROZ", "total_measure": 104960497.0}, {"Class": "BARBUNYA", "total_measure": 93896014.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0573937f902ff2431531533aa959b156f1518a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_685a254827f9ac3c +-- problem_id: v2p_n10_53bdcfe0e3ca2f3a +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("ConvexArea" AS REAL)) AS total_measure +FROM "n10" +GROUP BY "Class" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c5cf107557e300e5f5a3b5a7fa221670ba70674 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/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 \"Class\", SUM(CAST(\"ConvexArea\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"ConvexArea\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"CALI\", \"total_measure\": 125002260.0}, {\"Class\": \"SIRA\", \"total_measure\": 119339891.0}, {\"Class\": \"DERMASON\", \"total_measure\": 115239451.0}, {\"Class\": \"HOROZ\", \"total_measure\": 104960497.0}, {\"Class\": \"BARBUNYA\", \"total_measure\": 93896014.0}, {\"Class\": \"BOMBAY\", \"total_measure\": 91774447.0}, {\"Class\": \"SEKER\", \"total_measure\": 81626413.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..83fbd13fba4160e7f117dfb8be0ca3b20b1646db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:30:29.721813+00:00", + "ended_at": "2026-05-19T15:30:47.318710+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_685a254827f9ac3c", + "problem_id": "v2p_n10_53bdcfe0e3ca2f3a", + "dataset_id": "n10", + "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=Class, measure_col=ConvexArea.", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_685a254827f9ac3c.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_685a254827f9ac3c", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 221, + "total_tokens": 15611, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17576.18, + "sql_execution_elapsed_ms_total": 13.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..562d9c460b6fb17c1cf23fd11734c5fefe0773ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:47.302282+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": 17576.18, "started_at": "2026-05-19T15:30:29.724472+00:00", "ended_at": "2026-05-19T15:30:47.300692+00:00", "prompt_metrics": {"chars": 10900, "bytes_utf8": 10900, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 221, "reasoning_output_tokens": 128}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"ConvexArea\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested grouped numeric sum template with \\\"Class\\\" as the grouping column and cast \\\"ConvexArea\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c8a243b91d91318ce0274564cab8dee12fec9038 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_685a254827f9ac3c", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 221, + "total_tokens": 15611, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17576.18, + "sql_execution_elapsed_ms_total": 13.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..adec0b04daee1174a242f97621ed51e8853fbdc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11462, "bytes_utf8": 11462, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 607, "bytes_utf8": 607, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15528, "cached_input_tokens": 12032, "output_tokens": 430, "reasoning_output_tokens": 269}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3db14a3bf9433529a07e17cc6789b78fbd16980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_689659ca56fa4f43", + "api_calls": 0, + "input_tokens": 15528, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 15958, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12004.2, + "sql_execution_elapsed_ms_total": 13.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..19a97fdaef9b4791601182dc66db20268f4ef5d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:30.357059+00:00", + "ended_at": "2026-05-19T15:47:42.361297+00:00", + "elapsed_ms": 12004.2, + "prompt_metrics": { + "chars": 11462, + "bytes_utf8": 11462, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 974, + "bytes_utf8": 974, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 607, + "bytes_utf8": 607, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15528, + "cached_input_tokens": 12032, + "output_tokens": 430, + "reasoning_output_tokens": 269 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c208c4285d9403ed3dcf528e8e6eafb3157704f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=ShapeFactor1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor1", + "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": 0.006999, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ca0e8a30cb6634b42743b7b1a7fd989bab4cb20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-b927-77f1-ae58-2b6bf2395f8d"} +{"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 \\\"Class\\\", SUM(CAST(\\\"ShapeFactor1\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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=\\\"Class\\\" and measure_col=\\\"ShapeFactor1\\\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15528,"cached_input_tokens":12032,"output_tokens":430,"reasoning_output_tokens":269}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2679a8d834767fc3594f99926c8d6f598fd8195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"ShapeFactor1\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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=\"Class\" and measure_col=\"ShapeFactor1\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_689659ca56fa4f43/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e743a0da17f158f50344e647920b0a1a40a85a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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=Class, condition_col=Class. +Result preview: [{"Class": "SIRA", "condition_rate": 1.0}, {"Class": "SEKER", "condition_rate": 0.0}, {"Class": "HOROZ", "condition_rate": 0.0}, {"Class": "DERMASON", "condition_rate": 0.0}, {"Class": "CALI", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..97b60aba39eceaa01ee5a7f81fa9a7ad72c859b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_6c3066f301f60d9a +-- problem_id: v2p_n10_615d5a187e691869 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", + AVG(CASE WHEN "Class" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate +FROM "n10" +GROUP BY "Class" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a2829c19c24a3fa6f0e4bdfcf4cfd5c4cd6fd20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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 \"Class\",\n AVG(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Class\", \"condition_rate\"], \"rows\": [{\"Class\": \"SIRA\", \"condition_rate\": 1.0}, {\"Class\": \"SEKER\", \"condition_rate\": 0.0}, {\"Class\": \"HOROZ\", \"condition_rate\": 0.0}, {\"Class\": \"DERMASON\", \"condition_rate\": 0.0}, {\"Class\": \"CALI\", \"condition_rate\": 0.0}, {\"Class\": \"BOMBAY\", \"condition_rate\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..862d9cd522ccdf8d0603ac4f7c7f41878c0cf5b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:58:53.276111+00:00", + "ended_at": "2026-05-19T15:59:01.396755+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_6c3066f301f60d9a", + "problem_id": "v2p_n10_615d5a187e691869", + "dataset_id": "n10", + "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=Class, condition_col=Class.", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_6c3066f301f60d9a.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6c3066f301f60d9a", + "api_calls": 0, + "input_tokens": 15452, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 15707, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8103.23, + "sql_execution_elapsed_ms_total": 9.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4e61c80600d0a1a5faae46ad0e5606e393aca3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:01.385343+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": 8103.23, "started_at": "2026-05-19T15:58:53.280349+00:00", "ended_at": "2026-05-19T15:59:01.383612+00:00", "prompt_metrics": {"chars": 11147, "bytes_utf8": 11147, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15452, "cached_input_tokens": 12032, "output_tokens": 255, "reasoning_output_tokens": 156}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\", using condition_value='SIRA'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c539fd2d1a6be6ba0b4c6d979df1aa04127b1a46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6c3066f301f60d9a", + "api_calls": 0, + "input_tokens": 15452, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 15707, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8103.23, + "sql_execution_elapsed_ms_total": 9.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7e818d2293ec1a0b8726acc83f58befab523623 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/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=Class, measure_col=Solidity. +Result preview: [{"Class": "BOMBAY", "roundness": "0.92688199531597326", "total_measure": 0.9946774999456888, "share_within_group": 0.19308026646844795}, {"Class": "BOMBAY", "roundness": "0.8839761020656679", "total_measure": 0.9940817732784658, "share_within_group": 0.1929646279186104}, {"Class": "BOMBAY", "roundness": "0.87826903225719011", "total_measure": 0.9940491752256458, "share_within_group": 0.19295830019859544}, {"Class": "BOMBAY", "roundness": "0.89809479893722877", "total_measure": 0.9937707547382927, "share_within_group": 0.19290425504135467}, {"Class": "BOMBAY", "roundness": "0.91564960763908165", "total_measure": 0.9936575542232818, "share_within_group": 0.19288228130051518}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1f84feb76732d3359fb499fab5d3c65a90f0b93b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_6c5946ee0e8dca68 +-- problem_id: v2p_n10_6a18a6b7c02bc7dd +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + "roundness", + SUM(CAST("Solidity" AS REAL)) AS total_measure, + SUM(CAST("Solidity" AS REAL)) * 100.0 / SUM(SUM(CAST("Solidity" AS REAL))) OVER (PARTITION BY "Class") AS share_within_group +FROM "n10" +GROUP BY "Class", "roundness" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f59299c57aa70434d2e1e855ad38ff7ed23c3e80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/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 \"Class\",\n \"roundness\",\n SUM(CAST(\"Solidity\" AS REAL)) AS total_measure,\n SUM(CAST(\"Solidity\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Solidity\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"roundness\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Class\\\",\\n \\\"roundness\\\",\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Solidity\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"roundness\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Class\", \"roundness\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"roundness\": \"0.92688199531597326\", \"total_measure\": 0.9946774999456888, \"share_within_group\": 0.19308026646844795}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8839761020656679\", \"total_measure\": 0.9940817732784658, \"share_within_group\": 0.1929646279186104}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87826903225719011\", \"total_measure\": 0.9940491752256458, \"share_within_group\": 0.19295830019859544}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89809479893722877\", \"total_measure\": 0.9937707547382927, \"share_within_group\": 0.19290425504135467}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91564960763908165\", \"total_measure\": 0.9936575542232818, \"share_within_group\": 0.19288228130051518}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.9225136551891111\", \"total_measure\": 0.993581944059029, \"share_within_group\": 0.19286760435179318}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.94058768780020996\", \"total_measure\": 0.9935697611026462, \"share_within_group\": 0.19286523947627832}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87594448486543675\", \"total_measure\": 0.993429573982055, \"share_within_group\": 0.19283802727272426}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.95010449643105244\", \"total_measure\": 0.9934097746116236, \"share_within_group\": 0.19283418394891427}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89970082334029589\", \"total_measure\": 0.9933924596304018, \"share_within_group\": 0.19283082287842823}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89468697088276428\", \"total_measure\": 0.993139618824061, \"share_within_group\": 0.19278174308094106}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90867240115286407\", \"total_measure\": 0.9930259945115495, \"share_within_group\": 0.19275968707531288}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90314990038869136\", \"total_measure\": 0.9928777020676691, \"share_within_group\": 0.19273090151961142}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91540973416825477\", \"total_measure\": 0.9928002721156995, \"share_within_group\": 0.1927158713256443}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89181058082968534\", \"total_measure\": 0.9927827129817809, \"share_within_group\": 0.19271246286183952}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8867247662976776\", \"total_measure\": 0.9927055905478138, \"share_within_group\": 0.19269749236124828}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86433171771621919\", \"total_measure\": 0.9926660702523619, \"share_within_group\": 0.19268982094093645}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88088969368850856\", \"total_measure\": 0.9926538231679884, \"share_within_group\": 0.1926874436173171}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86768854916913141\", \"total_measure\": 0.992551393318481, \"share_within_group\": 0.1926675606073583}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.85688960288510863\", \"total_measure\": 0.9925484751178038, \"share_within_group\": 0.1926669941454001}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86180471325093\", \"total_measure\": 0.9925380315028818, \"share_within_group\": 0.1926649668994313}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89519232424722439\", \"total_measure\": 0.9925024325308469, \"share_within_group\": 0.19265805666067867}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88393780986314985\", \"total_measure\": 0.9924756368402529, \"share_within_group\": 0.1926528552571279}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89304802288631646\", \"total_measure\": 0.9924183626998839, \"share_within_group\": 0.19264173757699057}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.92300872189099814\", \"total_measure\": 0.9924145103077017, \"share_within_group\": 0.19264098977591018}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.84820242411780089\", \"total_measure\": 0.9923811962802311, \"share_within_group\": 0.19263452307559625}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.91801535151849034\", \"total_measure\": 0.9923780399849984, \"share_within_group\": 0.19263391039628602}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86704885085754735\", \"total_measure\": 0.9922503725782414, \"share_within_group\": 0.19260912843739247}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.93230297989277522\", \"total_measure\": 0.9922433562660191, \"share_within_group\": 0.19260776647692432}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86919390478645064\", \"total_measure\": 0.9922211150347386, \"share_within_group\": 0.19260344915511654}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88573050070974157\", \"total_measure\": 0.9921186520735772, \"share_within_group\": 0.19258355971774083}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90840471603813655\", \"total_measure\": 0.992112596231049, \"share_within_group\": 0.1925823841973444}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88993611740135514\", \"total_measure\": 0.9920897361084096, \"share_within_group\": 0.1925779467404089}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89053974610829445\", \"total_measure\": 0.9920496597827384, \"share_within_group\": 0.19257016738716115}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90187818893906979\", \"total_measure\": 0.9920270447050076, \"share_within_group\": 0.19256577749673467}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87793150106490314\", \"total_measure\": 0.9919990883518962, \"share_within_group\": 0.19256035079299547}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88710416521644753\", \"total_measure\": 0.9919565620626275, \"share_within_group\": 0.1925520958688976}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.87962307120293481\", \"total_measure\": 0.9919478835407083, \"share_within_group\": 0.19255041125119507}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89638442758555736\", \"total_measure\": 0.9919276440386263, \"share_within_group\": 0.1925464824919184}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89976898787820736\", \"total_measure\": 0.9919236324017534, \"share_within_group\": 0.1925457037793041}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89481154136033569\", \"total_measure\": 0.991883635037162, \"share_within_group\": 0.1925379397534628}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89760286587862781\", \"total_measure\": 0.9918753077534942, \"share_within_group\": 0.19253632331582382}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90667907701930017\", \"total_measure\": 0.9918586063849754, \"share_within_group\": 0.19253308135580746}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.90661600918335461\", \"total_measure\": 0.9918359412965303, \"share_within_group\": 0.19252868175762944}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89375294660468163\", \"total_measure\": 0.9918022657054583, \"share_within_group\": 0.19252214487296276}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.9126822439491582\", \"total_measure\": 0.9917893513697204, \"share_within_group\": 0.19251963802688885}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.88973025850229315\", \"total_measure\": 0.9917707696339653, \"share_within_group\": 0.19251603106232876}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.8831680830806361\", \"total_measure\": 0.9917657778165498, \"share_within_group\": 0.19251506208350216}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.89888452447710343\", \"total_measure\": 0.9917526046733766, \"share_within_group\": 0.1925125049994279}, {\"Class\": \"BOMBAY\", \"roundness\": \"0.86829459505988071\", \"total_measure\": 0.9917263488534004, \"share_within_group\": 0.19250740839201735}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 76.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e5599341a54e7bda3aa7cc56d82588f25d5945c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:33:58.893014+00:00", + "ended_at": "2026-05-19T15:34:12.813053+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_6c5946ee0e8dca68", + "problem_id": "v2p_n10_6a18a6b7c02bc7dd", + "dataset_id": "n10", + "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=Class, measure_col=Solidity.", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "item_col": "roundness", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_d/n10/sql/v2q_n10_6c5946ee0e8dca68.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6c5946ee0e8dca68", + "api_calls": 0, + "input_tokens": 15506, + "cached_input_tokens": 12032, + "output_tokens": 647, + "total_tokens": 16153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13837.11, + "sql_execution_elapsed_ms_total": 76.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aba754a947b75b7689e7c61de4cc1dc99858ddbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:12.733742+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": 13837.11, "started_at": "2026-05-19T15:33:58.895148+00:00", "ended_at": "2026-05-19T15:34:12.732297+00:00", "prompt_metrics": {"chars": 11303, "bytes_utf8": 11303, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 607, "bytes_utf8": 607, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15506, "cached_input_tokens": 12032, "output_tokens": 647, "reasoning_output_tokens": 476}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Class\\\",\\n \\\"roundness\\\",\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Solidity\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Solidity\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"roundness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"roundness\\\", and measure_col=\\\"Solidity\\\". CAST(... AS REAL) is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5b597c9ab623180041fbe2ae7496c8843894100f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6c5946ee0e8dca68", + "api_calls": 0, + "input_tokens": 15506, + "cached_input_tokens": 12032, + "output_tokens": 647, + "total_tokens": 16153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13837.11, + "sql_execution_elapsed_ms_total": 76.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..19ab0166dafed7a17cefe8929126908fab0a24e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/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=Class, measure_col=Extent. +Result preview: [{"Class": "BOMBAY", "Solidity": "0.9831159411673781", "total_measure": 0.8584198504983389, "share_within_group": 0.21176531423665507}, {"Class": "BOMBAY", "Solidity": "0.99160867409706033", "total_measure": 0.8522686025408348, "share_within_group": 0.21024785054343753}, {"Class": "BOMBAY", "Solidity": "0.98974889844455061", "total_measure": 0.8486226421964896, "share_within_group": 0.20934842127515302}, {"Class": "BOMBAY", "Solidity": "0.98411768740865035", "total_measure": 0.8440161464037144, "share_within_group": 0.2082120355910142}, {"Class": "BOMBAY", "Solidity": "0.99040489880543403", "total_measure": 0.8424641381361059, "share_within_group": 0.20782916755936606}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d4aff470f27aa13d7577de73817ebee51918502 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_6d52dd6603dbcb90 +-- problem_id: v2p_n10_9cd05ea454ae6280 +-- realization_mode: agent +-- source_kind: agent +SELECT + t."Class", + t."Solidity", + t.total_measure, + t.total_measure * 100.0 / SUM(t.total_measure) OVER (PARTITION BY t."Class") AS share_within_group +FROM ( + SELECT + "Class", + "Solidity", + SUM(CAST("Extent" AS REAL)) AS total_measure + FROM "n10" + GROUP BY "Class", "Solidity" +) AS t +ORDER BY share_within_group DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17b49fc0d499de4d8632a0c63ee5b2387e07625d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/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 t.\"Class\",\n t.\"Solidity\",\n t.total_measure,\n t.total_measure * 100.0 / SUM(t.total_measure) OVER (PARTITION BY t.\"Class\") AS share_within_group\nFROM (\n SELECT\n \"Class\",\n \"Solidity\",\n SUM(CAST(\"Extent\" AS REAL)) AS total_measure\n FROM \"n10\"\n GROUP BY \"Class\", \"Solidity\"\n) AS t\nORDER BY share_within_group DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n t.\\\"Class\\\",\\n t.\\\"Solidity\\\",\\n t.total_measure,\\n t.total_measure * 100.0 / SUM(t.total_measure) OVER (PARTITION BY t.\\\"Class\\\") AS share_within_group\\nFROM (\\n SELECT\\n \\\"Class\\\",\\n \\\"Solidity\\\",\\n SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\", \\\"Solidity\\\"\\n) AS t\\nORDER BY share_within_group DESC\\nLIMIT 19;\", \"columns\": [\"Class\", \"Solidity\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"Solidity\": \"0.9831159411673781\", \"total_measure\": 0.8584198504983389, \"share_within_group\": 0.21176531423665507}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99160867409706033\", \"total_measure\": 0.8522686025408348, \"share_within_group\": 0.21024785054343753}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98974889844455061\", \"total_measure\": 0.8486226421964896, \"share_within_group\": 0.20934842127515302}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98411768740865035\", \"total_measure\": 0.8440161464037144, \"share_within_group\": 0.2082120355910142}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99040489880543403\", \"total_measure\": 0.8424641381361059, \"share_within_group\": 0.20782916755936606}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99051085011353901\", \"total_measure\": 0.8402633078473563, \"share_within_group\": 0.20728624032229429}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9809270593882996\", \"total_measure\": 0.8398144196266262, \"share_within_group\": 0.20717550318700453}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9887322658637836\", \"total_measure\": 0.8390409135999612, \"share_within_group\": 0.20698468543423992}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9831688972846756\", \"total_measure\": 0.8382692209101629, \"share_within_group\": 0.206794315017183}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99001453617728208\", \"total_measure\": 0.837849915894655, \"share_within_group\": 0.20669087582211024}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99142828924455628\", \"total_measure\": 0.836654749632619, \"share_within_group\": 0.2063960378603621}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98767714929317652\", \"total_measure\": 0.8365520401418184, \"share_within_group\": 0.20637070025012175}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99185860638497536\", \"total_measure\": 0.8364770606149916, \"share_within_group\": 0.20635220340029872}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99120228679938993\", \"total_measure\": 0.8344557823129252, \"share_within_group\": 0.20585357020286235}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98970535836645201\", \"total_measure\": 0.83441324361297, \"share_within_group\": 0.20584307624567114}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99254847511780375\", \"total_measure\": 0.8331413400530981, \"share_within_group\": 0.20552930780604498}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9877248632418435\", \"total_measure\": 0.8330162388123694, \"share_within_group\": 0.20549844633011458}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99092733241725073\", \"total_measure\": 0.8327543304423454, \"share_within_group\": 0.2054338356291305}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98715424082696257\", \"total_measure\": 0.8325044930272767, \"share_within_group\": 0.20537220273622925}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e7ebf413b40331d6a4affcece16712e6d68d71db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:33:35.951386+00:00", + "ended_at": "2026-05-19T15:33:58.892476+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_6d52dd6603dbcb90", + "problem_id": "v2p_n10_9cd05ea454ae6280", + "dataset_id": "n10", + "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=Class, measure_col=Extent.", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "item_col": "Solidity", + "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": 0.778107, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_d/n10/sql/v2q_n10_6d52dd6603dbcb90.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6d52dd6603dbcb90", + "api_calls": 0, + "input_tokens": 15504, + "cached_input_tokens": 12032, + "output_tokens": 1186, + "total_tokens": 16690, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22885.04, + "sql_execution_elapsed_ms_total": 51.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c347c2433967ff9f3c9fe185cb2688eaeef5ca9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:58.839543+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": 22885.04, "started_at": "2026-05-19T15:33:35.953606+00:00", "ended_at": "2026-05-19T15:33:58.838666+00:00", "prompt_metrics": {"chars": 11300, "bytes_utf8": 11300, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15504, "cached_input_tokens": 12032, "output_tokens": 1186, "reasoning_output_tokens": 1002}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n t.\\\"Class\\\",\\n t.\\\"Solidity\\\",\\n t.total_measure,\\n t.total_measure * 100.0 / SUM(t.total_measure) OVER (PARTITION BY t.\\\"Class\\\") AS share_within_group\\nFROM (\\n SELECT\\n \\\"Class\\\",\\n \\\"Solidity\\\",\\n SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\", \\\"Solidity\\\"\\n) AS t\\nORDER BY share_within_group DESC\\nLIMIT 19;\",\"notes\":\"Applied the planned template with group_col=\\\"Class\\\", item_col=\\\"Solidity\\\", and measure_col=\\\"Extent\\\". CAST(\\\"Extent\\\" AS REAL) is used because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5878085ecc8bfee31bc50adc44ce54050d47836b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6d52dd6603dbcb90", + "api_calls": 0, + "input_tokens": 15504, + "cached_input_tokens": 12032, + "output_tokens": 1186, + "total_tokens": 16690, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22885.04, + "sql_execution_elapsed_ms_total": 51.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07f5637a26d30d4cc5d60c1a1f4fa5f49b633cb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11312, "bytes_utf8": 11312, "lines": 302, "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": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15507, "cached_input_tokens": 12032, "output_tokens": 559, "reasoning_output_tokens": 373}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d81a012733b8bd68a2685f00ae60d5d5bd7a274e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6e536f870eb27767", + "api_calls": 0, + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 559, + "total_tokens": 16066, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14835.17, + "sql_execution_elapsed_ms_total": 63.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f441c67ee28aa0e22ae3687577ddfc6f4f9b693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:25.575655+00:00", + "ended_at": "2026-05-19T15:34:40.410845+00:00", + "elapsed_ms": 14835.17, + "prompt_metrics": { + "chars": 11312, + "bytes_utf8": 11312, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1084, + "bytes_utf8": 1084, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 687, + "bytes_utf8": 687, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 559, + "reasoning_output_tokens": 373 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f3c3de8132b453177f70b43cb29010692d91f54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=roundness.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "item_col": "Compactness", + "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": 0.916869, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c95bb51c928a61944ec058031118a43741c65db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-bf38-7d12-bcd1-356268f5fc0b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Compactness\\\",\\n SUM(CAST(\\\"roundness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"roundness\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"roundness\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nWHERE \\\"Class\\\" IS NOT NULL AND \\\"Compactness\\\" IS NOT NULL AND \\\"roundness\\\" IS NOT NULL\\nGROUP BY \\\"Class\\\", \\\"Compactness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"Compactness\\\", and measure_col=\\\"roundness\\\". Cast \\\"roundness\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15507,"cached_input_tokens":12032,"output_tokens":559,"reasoning_output_tokens":373}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65925a290ee10adff8c793e4288e9453a336e247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"Compactness\",\n SUM(CAST(\"roundness\" AS REAL)) AS total_measure,\n SUM(CAST(\"roundness\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"roundness\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nWHERE \"Class\" IS NOT NULL AND \"Compactness\" IS NOT NULL AND \"roundness\" IS NOT NULL\nGROUP BY \"Class\", \"Compactness\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"Class\", item_col=\"Compactness\", and measure_col=\"roundness\". Cast \"roundness\" from TEXT to REAL for SQLite numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6e536f870eb27767/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e6c81c1595bd2c73cd2abf7cf8503c3c5057727 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Perimeter. +Result preview: [{"Class": "BOMBAY", "avg_measure": 1585.6190785440613}, {"Class": "CALI", "avg_measure": 1057.634281595092}, {"Class": "BARBUNYA", "avg_measure": 1046.1057639939486}, {"Class": "HOROZ", "avg_measure": 919.8596758298754}, {"Class": "SIRA", "avg_measure": 796.4187374810318}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..19921914d236d68f3b8c07b497020b7ee7fffc07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n10_6eaed2b87eaf3fa3 +-- problem_id: v2p_n10_aba4e10e5e8a0904 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "Class", + AVG("Perimeter_num") OVER (PARTITION BY "Class") AS "avg_measure" +FROM ( + SELECT + "Class", + CAST("Perimeter" AS REAL) AS "Perimeter_num" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "Perimeter" IS NOT NULL + AND TRIM("Perimeter") <> '' +) AS "filtered_stable_view" +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ebb96c040e3267dcd651dd68adba65af60e6175 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/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 \"Class\",\n AVG(\"Perimeter_num\") OVER (PARTITION BY \"Class\") AS \"avg_measure\"\nFROM (\n SELECT\n \"Class\",\n CAST(\"Perimeter\" AS REAL) AS \"Perimeter_num\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Perimeter\" IS NOT NULL\n AND TRIM(\"Perimeter\") <> ''\n) AS \"filtered_stable_view\"\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Class\\\",\\n AVG(\\\"Perimeter_num\\\") OVER (PARTITION BY \\\"Class\\\") AS \\\"avg_measure\\\"\\nFROM (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"Perimeter\\\" AS REAL) AS \\\"Perimeter_num\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Perimeter\\\" IS NOT NULL\\n AND TRIM(\\\"Perimeter\\\") <> ''\\n) AS \\\"filtered_stable_view\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"Class\", \"avg_measure\"], \"rows\": [{\"Class\": \"BOMBAY\", \"avg_measure\": 1585.6190785440613}, {\"Class\": \"CALI\", \"avg_measure\": 1057.634281595092}, {\"Class\": \"BARBUNYA\", \"avg_measure\": 1046.1057639939486}, {\"Class\": \"HOROZ\", \"avg_measure\": 919.8596758298754}, {\"Class\": \"SIRA\", \"avg_measure\": 796.4187374810318}, {\"Class\": \"SEKER\", \"avg_measure\": 727.6724400592008}, {\"Class\": \"DERMASON\", \"avg_measure\": 665.2095358150028}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..acbf608ca811461e5bbdaccc3745c8d48f242dc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:40:50.753839+00:00", + "ended_at": "2026-05-19T15:41:09.438368+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_6eaed2b87eaf3fa3", + "problem_id": "v2p_n10_aba4e10e5e8a0904", + "dataset_id": "n10", + "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=Class, measure_col=Perimeter.", + "bindings": { + "group_col": "Class", + "measure_col": "Perimeter", + "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": 902.7514, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_d/n10/sql/v2q_n10_6eaed2b87eaf3fa3.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6eaed2b87eaf3fa3", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 14720, + "output_tokens": 645, + "total_tokens": 16044, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18627.47, + "sql_execution_elapsed_ms_total": 51.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e9c1e0d42ce1a4c902be6dabdf6d31bc5b55671 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:09.385410+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": 18627.47, "started_at": "2026-05-19T15:40:50.756474+00:00", "ended_at": "2026-05-19T15:41:09.383981+00:00", "prompt_metrics": {"chars": 10985, "bytes_utf8": 10985, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 14720, "output_tokens": 645, "reasoning_output_tokens": 473}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Class\\\",\\n AVG(\\\"Perimeter_num\\\") OVER (PARTITION BY \\\"Class\\\") AS \\\"avg_measure\\\"\\nFROM (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"Perimeter\\\" AS REAL) AS \\\"Perimeter_num\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Perimeter\\\" IS NOT NULL\\n AND TRIM(\\\"Perimeter\\\") <> ''\\n) AS \\\"filtered_stable_view\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Uses the requested window-partition-average template with group_col=\\\"Class\\\" and measure_col=\\\"Perimeter\\\", casting the TEXT measure to REAL and filtering null/blank perimeter values for stability.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a4b1754d11f8ca38e066c9fa679e747e5953fb30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_6eaed2b87eaf3fa3", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 14720, + "output_tokens": 645, + "total_tokens": 16044, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18627.47, + "sql_execution_elapsed_ms_total": 51.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb29c83910c1faf972d5d8eb58bf7820872dc79b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11318, "bytes_utf8": 11318, "lines": 302, "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": 632, "bytes_utf8": 632, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15508, "cached_input_tokens": 12032, "output_tokens": 451, "reasoning_output_tokens": 282}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3f173d78d7774db5402e1a699b7981e509cebc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_70154e0458a21109", + "api_calls": 0, + "input_tokens": 15508, + "cached_input_tokens": 12032, + "output_tokens": 451, + "total_tokens": 15959, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12411.1, + "sql_execution_elapsed_ms_total": 76.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bd62e6848d606f95849dcfd4984a1f68717b7fcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:39.008423+00:00", + "ended_at": "2026-05-19T15:38:51.419566+00:00", + "elapsed_ms": 12411.1, + "prompt_metrics": { + "chars": 11318, + "bytes_utf8": 11318, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1012, + "bytes_utf8": 1012, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 632, + "bytes_utf8": 632, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15508, + "cached_input_tokens": 12032, + "output_tokens": 451, + "reasoning_output_tokens": 282 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9256cdd700e7e80ecea16daa293534cb89ece37e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=Perimeter.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "Perimeter", + "item_col": "MajorAxisLength", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 902.7514, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7dc06072a03a34b7200cba5794513839d39abf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-9d31-7630-a1a3-3992a243de13"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"MajorAxisLength\\\",\\n SUM(CAST(\\\"Perimeter\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Perimeter\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Perimeter\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"MajorAxisLength\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the planned Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"MajorAxisLength\\\", and measure_col=\\\"Perimeter\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15508,"cached_input_tokens":12032,"output_tokens":451,"reasoning_output_tokens":282}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0712e5047442100819c8b2b71821d91c02d9b17e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"MajorAxisLength\",\n SUM(CAST(\"Perimeter\" AS REAL)) AS total_measure,\n SUM(CAST(\"Perimeter\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Perimeter\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"MajorAxisLength\"\nORDER BY share_within_group DESC;","notes":"Instantiated the planned Within-Group Share of Total template with group_col=\"Class\", item_col=\"MajorAxisLength\", and measure_col=\"Perimeter\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_70154e0458a21109/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..debb6a61a7aa583d82df44ae68c9d46ab6b48a8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/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=Class. +Result preview: [{"Class": "DERMASON", "row_count": 3546}, {"Class": "SIRA", "row_count": 2636}, {"Class": "SEKER", "row_count": 2027}, {"Class": "HOROZ", "row_count": 1928}, {"Class": "CALI", "row_count": 1630}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c581ed230c2ec454b5f9b1191ea3d7fa430a6ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_7333c5818a7a4959 +-- problem_id: v2p_n10_539bb301ea792890 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", COUNT(*) AS row_count +FROM "n10" +GROUP BY "Class" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14eb19ac6dc541b4a58462321410d65d006ee52a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/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 \"Class\", COUNT(*) AS row_count\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS row_count\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Class\", \"row_count\"], \"rows\": [{\"Class\": \"DERMASON\", \"row_count\": 3546}, {\"Class\": \"SIRA\", \"row_count\": 2636}, {\"Class\": \"SEKER\", \"row_count\": 2027}, {\"Class\": \"HOROZ\", \"row_count\": 1928}, {\"Class\": \"CALI\", \"row_count\": 1630}, {\"Class\": \"BARBUNYA\", \"row_count\": 1322}, {\"Class\": \"BOMBAY\", \"row_count\": 522}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fed1dbd9c3ab56af28d0178e3e781a0965f90317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:31:43.134238+00:00", + "ended_at": "2026-05-19T15:31:51.554676+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_7333c5818a7a4959", + "problem_id": "v2p_n10_539bb301ea792890", + "dataset_id": "n10", + "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=Class.", + "bindings": { + "group_col": "Class", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_7333c5818a7a4959.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_7333c5818a7a4959", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 14720, + "output_tokens": 188, + "total_tokens": 15549, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8409.74, + "sql_execution_elapsed_ms_total": 5.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e336d00d95994bbac0263791d4bc5d36a977d720 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:51.548343+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": 8409.74, "started_at": "2026-05-19T15:31:43.137856+00:00", "ended_at": "2026-05-19T15:31:51.547629+00:00", "prompt_metrics": {"chars": 10805, "bytes_utf8": 10805, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 255, "bytes_utf8": 255, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 14720, "output_tokens": 188, "reasoning_output_tokens": 121}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS row_count\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by target category \\\"Class\\\" to inspect subgroup size distribution/stability.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d892726cbcdef9d89ceb7f9af8613d9ad7251ed5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_7333c5818a7a4959", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 14720, + "output_tokens": 188, + "total_tokens": 15549, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8409.74, + "sql_execution_elapsed_ms_total": 5.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..86c5a7d421a5d7cabd185a224f86818c4bc9fb01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Solidity. +Result preview: [{"Class": "DERMASON", "total_measure": 3504.2495973446403}, {"Class": "SIRA", "total_measure": 2604.2912502462927}, {"Class": "SEKER", "total_measure": 2007.4408196432141}, {"Class": "HOROZ", "total_measure": 1900.0061162136512}, {"Class": "CALI", "total_measure": 1605.583831650607}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..65f5cc218d33355b2b9b7713a34a02dc94722e8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n10_73b62d16ef3dfd63 +-- problem_id: v2p_n10_bca9d73443b15737 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("Solidity" AS REAL)) AS "total_measure" +FROM "n10" +GROUP BY "Class" +HAVING SUM(CAST("Solidity" AS REAL)) > 0.990013 +ORDER BY "total_measure" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5696848e490f87e779fb8d1f6e5adbe5ace98d64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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_tpch_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"Solidity\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Solidity\" AS REAL)) > 0.990013\nORDER BY \"total_measure\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Solidity\\\" AS REAL)) > 0.990013\\nORDER BY \\\"total_measure\\\" DESC\\nLIMIT 12;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 3504.2495973446403}, {\"Class\": \"SIRA\", \"total_measure\": 2604.2912502462927}, {\"Class\": \"SEKER\", \"total_measure\": 2007.4408196432141}, {\"Class\": \"HOROZ\", \"total_measure\": 1900.0061162136512}, {\"Class\": \"CALI\", \"total_measure\": 1605.583831650607}, {\"Class\": \"BARBUNYA\", \"total_measure\": 1299.266935938048}, {\"Class\": \"BOMBAY\", \"total_measure\": 515.1626927696586}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bc7d382a7de7808f71ebbfa2e87fd68a75065782 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:04:30.400864+00:00", + "ended_at": "2026-05-19T16:04:44.443076+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_73b62d16ef3dfd63", + "problem_id": "v2p_n10_bca9d73443b15737", + "dataset_id": "n10", + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "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 Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Solidity.", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_73b62d16ef3dfd63.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_73b62d16ef3dfd63", + "api_calls": 0, + "input_tokens": 15432, + "cached_input_tokens": 14720, + "output_tokens": 345, + "total_tokens": 15777, + "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": 13014.31, + "sql_execution_elapsed_ms_total": 18.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89c27fb0d3150500bd826b74b48c3ca2fae1ab54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:33.624629+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": 3219.79, "started_at": "2026-05-19T16:04:30.404103+00:00", "ended_at": "2026-05-19T16:04:33.623919+00:00", "prompt_metrics": {"chars": 11066, "bytes_utf8": 11066, "lines": 300, "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\":\"019e40fb-493a-7762-a9d2-3f06589a307a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:44.421997+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": 9794.52, "started_at": "2026-05-19T16:04:34.626117+00:00", "ended_at": "2026-05-19T16:04:44.420694+00:00", "prompt_metrics": {"chars": 11066, "bytes_utf8": 11066, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 14720, "output_tokens": 345, "reasoning_output_tokens": 218}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Solidity\\\" AS REAL)) > 0.990013\\nORDER BY \\\"total_measure\\\" DESC\\nLIMIT 12;\",\"notes\":\"Used the required Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"Solidity\\\". Cast \\\"Solidity\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fd0e1f41e1069b6c1fa6096f39858038035eada0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_73b62d16ef3dfd63", + "api_calls": 0, + "input_tokens": 15432, + "cached_input_tokens": 14720, + "output_tokens": 345, + "total_tokens": 15777, + "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": 13014.31, + "sql_execution_elapsed_ms_total": 18.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7ee8e87f8469ffe0f8c9479dcb89c07b8b2c31d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class. +Result preview: [{"Class": "BOMBAY", "support": 522}, {"Class": "BARBUNYA", "support": 1322}, {"Class": "CALI", "support": 1630}, {"Class": "HOROZ", "support": 1928}, {"Class": "SEKER", "support": 2027}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..358072621e96e8916582d2318e00040ad37c095f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n10_76e77060ecc521f1 +-- problem_id: v2p_n10_090b8c77fad609ce +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + COUNT(*) AS support +FROM "n10" +GROUP BY "Class" +ORDER BY support ASC, "Class" +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bfb4d0690efb2ef1f6e80e662df6c3d5cdd4c425 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS support\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY support ASC, \"Class\"\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS support\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 18;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"BOMBAY\", \"support\": 522}, {\"Class\": \"BARBUNYA\", \"support\": 1322}, {\"Class\": \"CALI\", \"support\": 1630}, {\"Class\": \"HOROZ\", \"support\": 1928}, {\"Class\": \"SEKER\", \"support\": 2027}, {\"Class\": \"SIRA\", \"support\": 2636}, {\"Class\": \"DERMASON\", \"support\": 3546}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bdd156e201e8fb71e0f70ada774b6bc59a62f4d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:01:54.990755+00:00", + "ended_at": "2026-05-19T16:02:06.440917+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_76e77060ecc521f1", + "problem_id": "v2p_n10_090b8c77fad609ce", + "dataset_id": "n10", + "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=Class.", + "bindings": { + "group_col": "Class", + "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": 0.83427, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_76e77060ecc521f1.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_76e77060ecc521f1", + "api_calls": 0, + "input_tokens": 15398, + "cached_input_tokens": 12032, + "output_tokens": 202, + "total_tokens": 15600, + "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": 10428.13, + "sql_execution_elapsed_ms_total": 11.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e0744b2dae874d71d2fb185890e55b96228d6b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:58.640741+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": 3646.17, "started_at": "2026-05-19T16:01:54.993726+00:00", "ended_at": "2026-05-19T16:01:58.639926+00:00", "prompt_metrics": {"chars": 10887, "bytes_utf8": 10887, "lines": 298, "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-ea2c-71d3-bb6a-b3312b6be801\"}\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": "2026-05-19T16:02:06.426278+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": 6781.96, "started_at": "2026-05-19T16:01:59.642670+00:00", "ended_at": "2026-05-19T16:02:06.424691+00:00", "prompt_metrics": {"chars": 10887, "bytes_utf8": 10887, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 302, "bytes_utf8": 302, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15398, "cached_input_tokens": 12032, "output_tokens": 202, "reasoning_output_tokens": 113}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS support\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 18;\",\"notes\":\"Applied the Low-Support Group Count template with group_col fixed to \\\"Class\\\" on the single table \\\"n10\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c2a8499db5fa23e446555562f77f288850109d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_76e77060ecc521f1", + "api_calls": 0, + "input_tokens": 15398, + "cached_input_tokens": 12032, + "output_tokens": 202, + "total_tokens": 15600, + "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": 10428.13, + "sql_execution_elapsed_ms_total": 11.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2eac5e8b5ce4c990d0039bb2f4268c74bfefa6aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/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": "2026-05-19T16:03:51.755428+00:00", + "ended_at": "2026-05-19T16:03:54.428220+00:00", + "elapsed_ms": 2672.77, + "returncode": 1, + "prompt_metrics": { + "chars": 11071, + "bytes_utf8": 11071, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83d48acd21b4478ecd828cae7cf59837bd1629b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:55.430691+00:00", + "ended_at": "2026-05-19T16:03:58.833892+00:00", + "elapsed_ms": 3403.15, + "returncode": 1, + "prompt_metrics": { + "chars": 11071, + "bytes_utf8": 11071, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d5e88fecc011f0325d9428e27c83000044b9370 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=ConvexArea.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 53411.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d5e88fecc011f0325d9428e27c83000044b9370 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=ConvexArea.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 53411.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71fea233ec3caffdd9a4f23b53859cf61d404bd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b25e-7da3-8f7c-72d8e85c27a3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19dda75b7731e71e1fe1fb56cde4970ff610fb73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b25e-7da3-8f7c-72d8e85c27a3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8917f0524b92d1dc040d757a0af19f1f1b8b918c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-c0be-7f23-a701-82882f3cf02c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f87a836cbc77b01b756d058d3370ada714e62649 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-c0be-7f23-a701-82882f3cf02c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7703f3ef21ad7abf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a4bf7f751f4cf977dc629f04753fbe3df36e26c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=AspectRation. +Result preview: [{"Class": "HOROZ", "avg_measure": 2.0261190977596253}, {"Class": "CALI", "avg_measure": 1.7336630325799487}, {"Class": "BOMBAY", "avg_measure": 1.5855499596639737}, {"Class": "SIRA", "avg_measure": 1.570082633684349}, {"Class": "BARBUNYA", "avg_measure": 1.5443946670496036}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..49101a70dd9736d82b91d82bc01a663bd14c10b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n10_77166c05c9f946b9 +-- problem_id: v2p_n10_9f4a59a843fe20e2 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "Class", + AVG(CAST("AspectRation" AS REAL)) OVER (PARTITION BY "Class") AS "avg_measure" +FROM "n10" +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b1d61476e8b0e23daa57d3f51e5528168de9e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/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 \"Class\",\n AVG(CAST(\"AspectRation\" AS REAL)) OVER (PARTITION BY \"Class\") AS \"avg_measure\"\nFROM \"n10\"\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"AspectRation\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS \\\"avg_measure\\\"\\nFROM \\\"n10\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"Class\", \"avg_measure\"], \"rows\": [{\"Class\": \"HOROZ\", \"avg_measure\": 2.0261190977596253}, {\"Class\": \"CALI\", \"avg_measure\": 1.7336630325799487}, {\"Class\": \"BOMBAY\", \"avg_measure\": 1.5855499596639737}, {\"Class\": \"SIRA\", \"avg_measure\": 1.570082633684349}, {\"Class\": \"BARBUNYA\", \"avg_measure\": 1.5443946670496036}, {\"Class\": \"DERMASON\", \"avg_measure\": 1.4904709242245318}, {\"Class\": \"SEKER\", \"avg_measure\": 1.2451818768347025}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 39.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4ab8b67aecbfc852fc0c843803048a9d29bedf0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:42:13.710027+00:00", + "ended_at": "2026-05-19T15:42:26.801076+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_77166c05c9f946b9", + "problem_id": "v2p_n10_9f4a59a843fe20e2", + "dataset_id": "n10", + "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=Class, measure_col=AspectRation.", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "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": 1.637208, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=52" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_d/n10/sql/v2q_n10_77166c05c9f946b9.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_77166c05c9f946b9", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 248, + "total_tokens": 15649, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13045.84, + "sql_execution_elapsed_ms_total": 39.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..867d28377e65b279ed532621671ebb5e3ff96a8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:26.759613+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": 13045.84, "started_at": "2026-05-19T15:42:13.712924+00:00", "ended_at": "2026-05-19T15:42:26.758797+00:00", "prompt_metrics": {"chars": 10990, "bytes_utf8": 10990, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15401, "cached_input_tokens": 14720, "output_tokens": 248, "reasoning_output_tokens": 142}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"AspectRation\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS \\\"avg_measure\\\"\\nFROM \\\"n10\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"AspectRation\\\". Cast \\\"AspectRation\\\" from TEXT to REAL for SQLite numeric averaging.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c71baa2360e5dae91bae2f0339683e0ddaf347a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_77166c05c9f946b9", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 248, + "total_tokens": 15649, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13045.84, + "sql_execution_elapsed_ms_total": 39.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4adc71c95613b707d3149a5a03fee036fdb88af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/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=ShapeFactor4. +Result preview: [{"ShapeFactor4": "0.99973253004713891"}, {"ShapeFactor4": "0.99970910118234602"}, {"ShapeFactor4": "0.99970733608433349"}, {"ShapeFactor4": "0.99968052067987856"}, {"ShapeFactor4": "0.99967429217493931"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..92972be176a7b9a8597c5863d9fc97801b357b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_777785d1429c0753 +-- problem_id: v2p_n10_7c124f2241ead256 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "ShapeFactor4", + NTILE(10) OVER (ORDER BY CAST("ShapeFactor4" AS REAL) DESC) AS "tail_bucket" + FROM "n10" + WHERE "ShapeFactor4" IS NOT NULL +) +SELECT "ShapeFactor4" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("ShapeFactor4" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02836e73a3c07b121d9081f02f00967a51933e9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/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 \"ShapeFactor4\",\n NTILE(10) OVER (ORDER BY CAST(\"ShapeFactor4\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n10\"\n WHERE \"ShapeFactor4\" IS NOT NULL\n)\nSELECT \"ShapeFactor4\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"ShapeFactor4\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"ShapeFactor4\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ShapeFactor4\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"ShapeFactor4\\\" IS NOT NULL\\n)\\nSELECT \\\"ShapeFactor4\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"ShapeFactor4\\\" AS REAL) DESC;\", \"columns\": [\"ShapeFactor4\"], \"rows\": [{\"ShapeFactor4\": \"0.99973253004713891\"}, {\"ShapeFactor4\": \"0.99970910118234602\"}, {\"ShapeFactor4\": \"0.99970733608433349\"}, {\"ShapeFactor4\": \"0.99968052067987856\"}, {\"ShapeFactor4\": \"0.99967429217493931\"}, {\"ShapeFactor4\": \"0.99967045199935356\"}, {\"ShapeFactor4\": \"0.99965952615600018\"}, {\"ShapeFactor4\": \"0.99965227577985938\"}, {\"ShapeFactor4\": \"0.99963701078468903\"}, {\"ShapeFactor4\": \"0.99962537896637571\"}, {\"ShapeFactor4\": \"0.99961705167747184\"}, {\"ShapeFactor4\": \"0.99961652462442097\"}, {\"ShapeFactor4\": \"0.99961204389308556\"}, {\"ShapeFactor4\": \"0.99961171954819861\"}, {\"ShapeFactor4\": \"0.99960187657302602\"}, {\"ShapeFactor4\": \"0.99959764832383335\"}, {\"ShapeFactor4\": \"0.99959575177348847\"}, {\"ShapeFactor4\": \"0.99958618514296038\"}, {\"ShapeFactor4\": \"0.99958171038258126\"}, {\"ShapeFactor4\": \"0.99957368427895443\"}, {\"ShapeFactor4\": \"0.99957237845828495\"}, {\"ShapeFactor4\": \"0.99956916003221252\"}, {\"ShapeFactor4\": \"0.99956212963625279\"}, {\"ShapeFactor4\": \"0.99955943925195001\"}, {\"ShapeFactor4\": \"0.99955727698425478\"}, {\"ShapeFactor4\": \"0.99954966742058549\"}, {\"ShapeFactor4\": \"0.9995460105374141\"}, {\"ShapeFactor4\": \"0.99954499039459543\"}, {\"ShapeFactor4\": \"0.99954225939286723\"}, {\"ShapeFactor4\": \"0.99954104907341257\"}, {\"ShapeFactor4\": \"0.99953837305617355\"}, {\"ShapeFactor4\": \"0.99953750342385106\"}, {\"ShapeFactor4\": \"0.9995352507482097\"}, {\"ShapeFactor4\": \"0.99953167934757003\"}, {\"ShapeFactor4\": \"0.99953148122897995\"}, {\"ShapeFactor4\": \"0.99952906952137088\"}, {\"ShapeFactor4\": \"0.99952855950274488\"}, {\"ShapeFactor4\": \"0.99952742611346534\"}, {\"ShapeFactor4\": \"0.99952380638928839\"}, {\"ShapeFactor4\": \"0.99952356767462813\"}, {\"ShapeFactor4\": \"0.99952297846077121\"}, {\"ShapeFactor4\": \"0.99951779760736659\"}, {\"ShapeFactor4\": \"0.99951530272653588\"}, {\"ShapeFactor4\": \"0.99951461456343349\"}, {\"ShapeFactor4\": \"0.99951144067381548\"}, {\"ShapeFactor4\": \"0.99950903257892976\"}, {\"ShapeFactor4\": \"0.99950549175982828\"}, {\"ShapeFactor4\": \"0.99950031877056533\"}, {\"ShapeFactor4\": \"0.99949981601336935\"}, {\"ShapeFactor4\": \"0.99949536477766898\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 25.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4b19677bc165c79a1e08db121f4181398c1b1e42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:44:26.189494+00:00", + "ended_at": "2026-05-19T15:44:38.119167+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_777785d1429c0753", + "problem_id": "v2p_n10_7c124f2241ead256", + "dataset_id": "n10", + "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=ShapeFactor4.", + "bindings": { + "measure_col": "ShapeFactor4", + "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": 0.997883, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_d/n10/sql/v2q_n10_777785d1429c0753.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_777785d1429c0753", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 12032, + "output_tokens": 625, + "total_tokens": 16070, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11898.38, + "sql_execution_elapsed_ms_total": 25.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b62016c0523b66cc789c69eff736564d86a729f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:38.091635+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": 11898.38, "started_at": "2026-05-19T15:44:26.192002+00:00", "ended_at": "2026-05-19T15:44:38.090405+00:00", "prompt_metrics": {"chars": 11081, "bytes_utf8": 11081, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 567, "bytes_utf8": 567, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 12032, "output_tokens": 625, "reasoning_output_tokens": 463}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"ShapeFactor4\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ShapeFactor4\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"ShapeFactor4\\\" IS NOT NULL\\n)\\nSELECT \\\"ShapeFactor4\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"ShapeFactor4\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"ShapeFactor4\\\" and num_tiles=10. CAST to REAL is used because the SQLite schema stores this numeric field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2feb47234e5d7bdf3d2cff6da7fd4c6fb9d6705f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_777785d1429c0753", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 12032, + "output_tokens": 625, + "total_tokens": 16070, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11898.38, + "sql_execution_elapsed_ms_total": 25.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c21f35931a8a266f5e9b0db6fb1d2470739549a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class. +Result preview: [{"Class": "BOMBAY", "support": 522}, {"Class": "BARBUNYA", "support": 1322}, {"Class": "CALI", "support": 1630}, {"Class": "HOROZ", "support": 1928}, {"Class": "SEKER", "support": 2027}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6fe80045cd0295c70c37c87a779539440af8b5c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n10_7d33a49bb0a3671d +-- problem_id: v2p_n10_1be3d198ef914fab +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + COUNT(*) AS "support" +FROM "n10" +GROUP BY "Class" +ORDER BY "support" ASC, "Class" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b946505b8bd21201e17dd7542d46817af66aea97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS \"support\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"support\" ASC, \"Class\"\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 14;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"BOMBAY\", \"support\": 522}, {\"Class\": \"BARBUNYA\", \"support\": 1322}, {\"Class\": \"CALI\", \"support\": 1630}, {\"Class\": \"HOROZ\", \"support\": 1928}, {\"Class\": \"SEKER\", \"support\": 2027}, {\"Class\": \"SIRA\", \"support\": 2636}, {\"Class\": \"DERMASON\", \"support\": 3546}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dc6b6d872d3274b89782a47f2d301472c6fac276 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:02:06.442174+00:00", + "ended_at": "2026-05-19T16:02:18.146367+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_7d33a49bb0a3671d", + "problem_id": "v2p_n10_1be3d198ef914fab", + "dataset_id": "n10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.", + "bindings": { + "group_col": "Class", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_7d33a49bb0a3671d.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_7d33a49bb0a3671d", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 12032, + "output_tokens": 257, + "total_tokens": 15656, + "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": 10690.37, + "sql_execution_elapsed_ms_total": 4.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3657159eb3d02a64edc3a5ddca00271657795428 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:09.431922+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": 2983.99, "started_at": "2026-05-19T16:02:06.447246+00:00", "ended_at": "2026-05-19T16:02:09.431268+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "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\":\"019e40f9-16f0-7fb2-a20c-e817d8a50864\"}\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": "2026-05-19T16:02:18.139984+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": 7706.38, "started_at": "2026-05-19T16:02:10.432913+00:00", "ended_at": "2026-05-19T16:02:18.139325+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 314, "bytes_utf8": 314, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 12032, "output_tokens": 257, "reasoning_output_tokens": 163}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 14;\",\"notes\":\"Applies the Low-Support Group Count template with group_col fixed to \\\"Class\\\" on the single table \\\"n10\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d3acc955db91c0ac2da03850f0ebe0b9b57712f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_7d33a49bb0a3671d", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 12032, + "output_tokens": 257, + "total_tokens": 15656, + "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": 10690.37, + "sql_execution_elapsed_ms_total": 4.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e18d8f0b4ab9351b84e06970054a90e078528611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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=Class, measure_col=Area. +Result preview: [{"Class": "CALI", "group_value": 123127284.0}, {"Class": "SIRA", "group_value": 117905983.0}, {"Class": "DERMASON", "group_value": 113892949.0}, {"Class": "HOROZ", "group_value": 103434325.0}, {"Class": "BARBUNYA", "group_value": 92281064.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6b500cc459d0a0563d4a5bbb6addd582343dbea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_85824ca0fdea7f6f +-- problem_id: v2p_n10_63266bd5c30492a7 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Class", SUM(CAST("Area" AS REAL)) AS "group_value" + FROM "n10" + GROUP BY "Class" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."Class", 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_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3229c9eac95b20ec96a205148dc1385ccb101631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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 \"Class\", SUM(CAST(\"Area\" AS REAL)) AS \"group_value\"\n FROM \"n10\"\n GROUP BY \"Class\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"Class\", 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 \\\"Class\\\", SUM(CAST(\\\"Area\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"CALI\", \"group_value\": 123127284.0}, {\"Class\": \"SIRA\", \"group_value\": 117905983.0}, {\"Class\": \"DERMASON\", \"group_value\": 113892949.0}, {\"Class\": \"HOROZ\", \"group_value\": 103434325.0}, {\"Class\": \"BARBUNYA\", \"group_value\": 92281064.0}, {\"Class\": \"BOMBAY\", \"group_value\": 90559201.0}, {\"Class\": \"SEKER\", \"group_value\": 80839395.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0660563327da2f5409bc68133fc96b4ca7ef3eea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:49:04.187773+00:00", + "ended_at": "2026-05-19T15:49:22.894942+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_85824ca0fdea7f6f", + "problem_id": "v2p_n10_63266bd5c30492a7", + "dataset_id": "n10", + "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=Class, measure_col=Area.", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_85824ca0fdea7f6f.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_85824ca0fdea7f6f", + "api_calls": 0, + "input_tokens": 15522, + "cached_input_tokens": 14720, + "output_tokens": 836, + "total_tokens": 16358, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18687.16, + "sql_execution_elapsed_ms_total": 11.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..badea6b3e5e1cfa395ee46b19a86878965fe14d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:22.880562+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": 18687.16, "started_at": "2026-05-19T15:49:04.192534+00:00", "ended_at": "2026-05-19T15:49:22.879736+00:00", "prompt_metrics": {"chars": 11442, "bytes_utf8": 11442, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 664, "bytes_utf8": 664, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15522, "cached_input_tokens": 14720, "output_tokens": 836, "reasoning_output_tokens": 645}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"Area\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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=\\\"Class\\\" and measure_col=\\\"Area\\\". Cast \\\"Area\\\" to REAL because it is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e4aa7e90f81852a14da0d9a3f7a3ed14656779c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_85824ca0fdea7f6f", + "api_calls": 0, + "input_tokens": 15522, + "cached_input_tokens": 14720, + "output_tokens": 836, + "total_tokens": 16358, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18687.16, + "sql_execution_elapsed_ms_total": 11.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f6574afebebe45d2f50a7571194c353162f42ffd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/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": "2026-05-19T15:59:01.402308+00:00", + "ended_at": "2026-05-19T15:59:04.851812+00:00", + "elapsed_ms": 3449.48, + "returncode": 1, + "prompt_metrics": { + "chars": 11157, + "bytes_utf8": 11157, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c17bea122fde7a54c6ce3582eb6f6ec38223701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/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": "2026-05-19T15:59:05.854062+00:00", + "ended_at": "2026-05-19T15:59:08.824915+00:00", + "elapsed_ms": 2970.81, + "returncode": 1, + "prompt_metrics": { + "chars": 11157, + "bytes_utf8": 11157, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3af17733200a6da1eaf863f36fd2bef19ed046fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3af17733200a6da1eaf863f36fd2bef19ed046fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5c64269d45079f228c0a35776c264f4c0b07849 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-4430-78f1-91e4-0c3d827a5d71"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..187e6474e0679619acdbe9286d0b150cc38f6796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-4430-78f1-91e4-0c3d827a5d71"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..28343ef250ff1f638d1c4e0d6fdf486fb819133c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-5592-79a0-a747-349dc6f051e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a16fc912ae0dc7ec25e262cbfcc3eeaa65740362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-5592-79a0-a747-349dc6f051e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_88ec10fab2d5eda1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d82beaf53bd94b1ef9738069c5dba2978bd6b4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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=Class, measure_col=AspectRation. +Result preview: [{"Class": "HOROZ", "percentile_measure": 2.188529107807383}, {"Class": "CALI", "percentile_measure": 1.8445550099444583}, {"Class": "BOMBAY", "percentile_measure": 1.7411907352569878}, {"Class": "BARBUNYA", "percentile_measure": 1.7035253381549227}, {"Class": "SIRA", "percentile_measure": 1.6973650339233268}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0dfa4e24e90e061e79ec229070a3d411e85d1818 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/generated_sql.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_8b961cc6bf790df8 +-- problem_id: v2p_n10_f3b39a8955f1bbf7 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Class", + CAST("AspectRation" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY CAST("AspectRation" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Class") AS "cnt" + FROM "n10" + WHERE "AspectRation" IS NOT NULL + AND TRIM("AspectRation") <> '' +), +"positions" AS ( + SELECT DISTINCT + "Class", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) = CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."Class", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_val", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_val" + FROM "positions" AS p + JOIN "ordered" AS o + ON o."Class" = p."Class" + GROUP BY p."Class", p."pos", p."lower_rn", p."upper_rn" +) +SELECT + "Class", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b77d85fb2c92e366e0025ba073f79873f4da1708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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 \"Class\",\n CAST(\"AspectRation\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"AspectRation\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Class\") AS \"cnt\"\n FROM \"n10\"\n WHERE \"AspectRation\" IS NOT NULL\n AND TRIM(\"AspectRation\") <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"Class\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_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 \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"Class\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_val\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"Class\" = p.\"Class\"\n GROUP BY p.\"Class\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n \"Class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"AspectRation\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"AspectRation\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Class\\\") AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"AspectRation\\\" IS NOT NULL\\n AND TRIM(\\\"AspectRation\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Class\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_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 \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Class\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"Class\\\" = p.\\\"Class\\\"\\n GROUP BY p.\\\"Class\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"HOROZ\", \"percentile_measure\": 2.188529107807383}, {\"Class\": \"CALI\", \"percentile_measure\": 1.8445550099444583}, {\"Class\": \"BOMBAY\", \"percentile_measure\": 1.7411907352569878}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 1.7035253381549227}, {\"Class\": \"SIRA\", \"percentile_measure\": 1.6973650339233268}, {\"Class\": \"DERMASON\", \"percentile_measure\": 1.6154118420071715}, {\"Class\": \"SEKER\", \"percentile_measure\": 1.3439387086242034}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 88.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d420a31202dddd2faec31dfcba4c96352199e0c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:49:56.362735+00:00", + "ended_at": "2026-05-19T15:50:29.487824+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_8b961cc6bf790df8", + "problem_id": "v2p_n10_f3b39a8955f1bbf7", + "dataset_id": "n10", + "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=Class, measure_col=AspectRation.", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.637208, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_8b961cc6bf790df8.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_8b961cc6bf790df8", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2033, + "total_tokens": 17461, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33030.84, + "sql_execution_elapsed_ms_total": 88.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4491b3d4b149c9b54d236416e2b25636f6ab3850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:29.397396+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": 33030.84, "started_at": "2026-05-19T15:49:56.364826+00:00", "ended_at": "2026-05-19T15:50:29.395693+00:00", "prompt_metrics": {"chars": 11084, "bytes_utf8": 11084, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1728, "bytes_utf8": 1728, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 2033, "reasoning_output_tokens": 1442}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"AspectRation\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"AspectRation\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Class\\\") AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"AspectRation\\\" IS NOT NULL\\n AND TRIM(\\\"AspectRation\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Class\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_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 \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Class\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..35c295003a1cd8ef782fa926cdd924b9bf370e8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_8b961cc6bf790df8", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2033, + "total_tokens": 17461, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33030.84, + "sql_execution_elapsed_ms_total": 88.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f1030e422abefbfebb4091e0172b8c00f722eabe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10906, "bytes_utf8": 10906, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 429, "reasoning_output_tokens": 331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93baa84a673e1c330585fb58c107480471b0b8a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_8d283e28c3617ce0", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 429, + "total_tokens": 15819, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16302.16, + "sql_execution_elapsed_ms_total": 11.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..288d921d50acddfde07c8754b2b45b8bd4c592c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/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": "2026-05-19T15:29:55.195579+00:00", + "ended_at": "2026-05-19T15:30:11.497761+00:00", + "elapsed_ms": 16302.16, + "prompt_metrics": { + "chars": 10906, + "bytes_utf8": 10906, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1056, + "bytes_utf8": 1056, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 369, + "bytes_utf8": 369, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 429, + "reasoning_output_tokens": 331 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb44be6ba14d7e916ad1af8365dcd62a18ec98e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=AspectRation.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.637208, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c099c888b2f7035ca5a2ce553a0bdfbc6c7ff76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-9ef5-7e92-9d32-f2a38cbfdbc8"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16025. Please try again in 480ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"AspectRation\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the grouped numeric sum template with \\\"Class\\\" as the grouping column and \\\"AspectRation\\\" as the measure. CAST to REAL is included because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":429,"reasoning_output_tokens":331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab76ece087e318435cdc868ce1cc41cd19b277a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"AspectRation\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;","notes":"Used the grouped numeric sum template with \"Class\" as the grouping column and \"AspectRation\" as the measure. CAST to REAL is included because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8d283e28c3617ce0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d3a0aff8fddbc7c9f7fa5228145c67b885dc6959 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/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": "2026-05-19T15:59:33.361808+00:00", + "ended_at": "2026-05-19T15:59:36.616588+00:00", + "elapsed_ms": 3254.76, + "returncode": 1, + "prompt_metrics": { + "chars": 10846, + "bytes_utf8": 10846, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e2ec4f646fd1753fceeeb82ce3f39f7eef5b5317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/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": "2026-05-19T15:59:37.618829+00:00", + "ended_at": "2026-05-19T15:59:40.720780+00:00", + "elapsed_ms": 3101.9, + "returncode": 1, + "prompt_metrics": { + "chars": 10846, + "bytes_utf8": 10846, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c892720af2a122ea03bfe379104df694486f13f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ShapeFactor2", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c892720af2a122ea03bfe379104df694486f13f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ShapeFactor2", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6053426d7a62befcf8a414aa9ea514b361988919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c107-72a0-a6b1-a1dbe244db38"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..394e521b34f61df553259f6641a79ee3169991a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c107-72a0-a6b1-a1dbe244db38"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4e2cde2646b52c51e6c413d348bd57ea76542ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d1a1-77f1-ad0a-1472ecbe8951"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d0b1c1fa2c8de8ca1577a8e43010cbfbd864362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d1a1-77f1-ad0a-1472ecbe8951"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_902030c7499056b6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..01b870b69f460fc9c9fca823a40cea28d7820904 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/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=Class, measure_col=MinorAxisLength. +Result preview: [{"Class": "DERMASON", "total_measure": 587420.2292146306}, {"Class": "SIRA", "total_measure": 502949.45846802957}, {"Class": "SEKER", "total_measure": 409270.86625828024}, {"Class": "CALI", "total_measure": 385284.10449174116}, {"Class": "HOROZ", "total_measure": 355081.0379938723}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d06f52b3472bcb200ccadaa79f4a37bb55114f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_908f136a6b654950 +-- problem_id: v2p_n10_fca9d2c74ddc4186 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + SUM(CAST("MinorAxisLength" AS REAL)) AS "total_measure" +FROM "n10" +GROUP BY "Class" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78b6b9092ec0022039c632e75b319af49cd0a612 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/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 \"Class\",\n SUM(CAST(\"MinorAxisLength\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Class\\\",\\n SUM(CAST(\\\"MinorAxisLength\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 587420.2292146306}, {\"Class\": \"SIRA\", \"total_measure\": 502949.45846802957}, {\"Class\": \"SEKER\", \"total_measure\": 409270.86625828024}, {\"Class\": \"CALI\", \"total_measure\": 385284.10449174116}, {\"Class\": \"HOROZ\", \"total_measure\": 355081.0379938723}, {\"Class\": \"BARBUNYA\", \"total_measure\": 317688.9634611938}, {\"Class\": \"BOMBAY\", \"total_measure\": 195412.02948927163}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..23f6b53526c61c1b593f6ec01d9461c20caee453 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:29:24.877196+00:00", + "ended_at": "2026-05-19T15:29:37.837176+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_908f136a6b654950", + "problem_id": "v2p_n10_fca9d2c74ddc4186", + "dataset_id": "n10", + "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=Class, measure_col=MinorAxisLength.", + "bindings": { + "group_col": "Class", + "measure_col": "MinorAxisLength", + "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": 203.083773, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_908f136a6b654950.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_908f136a6b654950", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 14720, + "output_tokens": 395, + "total_tokens": 15785, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12946.62, + "sql_execution_elapsed_ms_total": 8.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3815699b2f10cc2feff63914e8803858a5f5108f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:37.826981+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": 12946.62, "started_at": "2026-05-19T15:29:24.879600+00:00", "ended_at": "2026-05-19T15:29:37.826245+00:00", "prompt_metrics": {"chars": 10915, "bytes_utf8": 10915, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 14720, "output_tokens": 395, "reasoning_output_tokens": 288}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Class\\\",\\n SUM(CAST(\\\"MinorAxisLength\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned grouped-sum template with group_col=\\\"Class\\\" and measure_col=\\\"MinorAxisLength\\\". Cast \\\"MinorAxisLength\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..647460f304607c28f0d32292fa08eefb7fe860c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_908f136a6b654950", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 14720, + "output_tokens": 395, + "total_tokens": 15785, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12946.62, + "sql_execution_elapsed_ms_total": 8.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e2599afbc0ef811468f84035f8da1e0d8ff87a15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11296, "bytes_utf8": 11296, "lines": 302, "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": 642, "bytes_utf8": 642, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15504, "cached_input_tokens": 14720, "output_tokens": 1066, "reasoning_output_tokens": 884}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2a75abe11106010730e44f3764d5110b11d105ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_90a7f53807731b4e", + "api_calls": 0, + "input_tokens": 15504, + "cached_input_tokens": 14720, + "output_tokens": 1066, + "total_tokens": 16570, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25857.01, + "sql_execution_elapsed_ms_total": 68.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cec4bfc15733242debce9925da934bd7bd1d4eb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/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": "2026-05-19T15:37:58.066660+00:00", + "ended_at": "2026-05-19T15:38:23.923702+00:00", + "elapsed_ms": 25857.01, + "prompt_metrics": { + "chars": 11296, + "bytes_utf8": 11296, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1042, + "bytes_utf8": 1042, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 642, + "bytes_utf8": 642, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15504, + "cached_input_tokens": 14720, + "output_tokens": 1066, + "reasoning_output_tokens": 884 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46e1e221bb8b30984b7b29eadff97d664e8ebd77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, measure_col=Area.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "item_col": "Perimeter", + "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": 52697.4, + "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 + }, + "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_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba44048ec7024089deee7cb3bd70759c839ba7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-fd60-78f3-b8e0-acc553783321"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Class\\\",\\n \\\"Perimeter\\\",\\n SUM(CAST(\\\"Area\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Area\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Area\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Perimeter\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 17;\",\"notes\":\"Used the provided template bindings with group_col=\\\"Class\\\", item_col=\\\"Perimeter\\\", and measure_col=\\\"Area\\\". CAST(\\\"Area\\\" AS REAL) is required because the SQLite schema stores numeric-looking fields as TEXT. LIMIT 17 applies the provided top_k binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15504,"cached_input_tokens":14720,"output_tokens":1066,"reasoning_output_tokens":884}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3010f3341b5529743a35001ac79632572963550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Class\",\n \"Perimeter\",\n SUM(CAST(\"Area\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Area\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Area\" AS REAL))) OVER (PARTITION BY \"Class\") AS \"share_within_group\"\nFROM \"n10\"\nGROUP BY \"Class\", \"Perimeter\"\nORDER BY \"share_within_group\" DESC\nLIMIT 17;","notes":"Used the provided template bindings with group_col=\"Class\", item_col=\"Perimeter\", and measure_col=\"Area\". CAST(\"Area\" AS REAL) is required because the SQLite schema stores numeric-looking fields as TEXT. LIMIT 17 applies the provided top_k binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_90a7f53807731b4e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0033ca8a032e5fbc02c054cc1382a8ea9cbf4629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11713, "bytes_utf8": 11713, "lines": 303, "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": 776, "bytes_utf8": 776, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 14720, "output_tokens": 513, "reasoning_output_tokens": 306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ee761b4edea1599fc1ed4351f3f37f8ccf0a54a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_921b6a76aaafa66c", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 14720, + "output_tokens": 513, + "total_tokens": 16113, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13610.52, + "sql_execution_elapsed_ms_total": 12.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..53c95bc37ad13b3c0520ae61964da53378c83b5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/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": "2026-05-19T15:39:12.212970+00:00", + "ended_at": "2026-05-19T15:39:25.823544+00:00", + "elapsed_ms": 13610.52, + "prompt_metrics": { + "chars": 11713, + "bytes_utf8": 11713, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1145, + "bytes_utf8": 1145, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 776, + "bytes_utf8": 776, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15600, + "cached_input_tokens": 14720, + "output_tokens": 513, + "reasoning_output_tokens": 306 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c077a5ff7072e75cc9f5cb8d51f280e3a2045409 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..45b8b654f818e57948e42fcb2919b4f5364a993a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-1edc-7d62-ba69-84705f8719d6"} +{"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 \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped-ratio template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because the grouping column and condition column are the same, most groups will yield NULL ratios due to zero denominators; only the 'SIRA' group yields 0.0 and the 'DERMASON' group yields NULL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":14720,"output_tokens":513,"reasoning_output_tokens":306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0269c7fac3ece855cb11a67c0549ad7bb72c6b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Class\",\n SUM(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n10\"\n GROUP BY \"Class\"\n)\nSELECT \"Class\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided grouped-ratio template with group_col=\"Class\" and condition_col=\"Class\". Because the grouping column and condition column are the same, most groups will yield NULL ratios due to zero denominators; only the 'SIRA' group yields 0.0 and the 'DERMASON' group yields NULL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_921b6a76aaafa66c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b0ce82d5516e2322b96186dd6a36de5d46ed29d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/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": "2026-05-19T16:03:23.862674+00:00", + "ended_at": "2026-05-19T16:03:26.733804+00:00", + "elapsed_ms": 2871.09, + "returncode": 1, + "prompt_metrics": { + "chars": 11074, + "bytes_utf8": 11074, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fbcd36bdf92e7cfd1a6b083eab413b0be4dadf56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:27.736213+00:00", + "ended_at": "2026-05-19T16:03:31.007571+00:00", + "elapsed_ms": 3271.31, + "returncode": 1, + "prompt_metrics": { + "chars": 11074, + "bytes_utf8": 11074, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5207662c518050b5fc1a223566bdceedd006dc6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Eccentricity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5207662c518050b5fc1a223566bdceedd006dc6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Eccentricity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2125674802af843c1c1a7814b041bc9982de276 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-456c-7d53-9995-df8197e4d875"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..47d7f6b8677d0f337aa151f515aae74295ecba13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-456c-7d53-9995-df8197e4d875"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c4489b8f9987fd4e53573b641a47b2f3302891 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-548e-77b1-89e1-8a8641819762"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3922ae1a1fced7f3a22e3085da1c8bacfa0bd4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-548e-77b1-89e1-8a8641819762"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9257bf44a11321bb/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1e55ce11a15b3768c09c646560fb6830671fe4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11079, "bytes_utf8": 11079, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1848, "bytes_utf8": 1848, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 2161, "reasoning_output_tokens": 1579}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a945e104339d29c03c1853e84479d85de69e355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_949420351d177f99", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2161, + "total_tokens": 17589, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34302.52, + "sql_execution_elapsed_ms_total": 51.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed8a16f4c3b4fff2057bba152d8f6179281189c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/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": "2026-05-19T15:51:47.570509+00:00", + "ended_at": "2026-05-19T15:52:21.873055+00:00", + "elapsed_ms": 34302.52, + "prompt_metrics": { + "chars": 11079, + "bytes_utf8": 11079, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2488, + "bytes_utf8": 2488, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1848, + "bytes_utf8": 1848, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2161, + "reasoning_output_tokens": 1579 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..405046ef7bec807d91b0b4df0a7ee4bd6425a2f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=ConvexArea.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa2ed1dceb15d5314377938ea8fc8e7a9c05ae4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-a570-7f22-a9ce-1f881351d6c0"} +{"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 \\\"Class\\\",\\n CAST(\\\"ConvexArea\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"ConvexArea\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Class\\\") AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ConvexArea\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n 1.0 + (MAX(\\\"cnt\\\") - 1) * 0.95 AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Class\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ABS(\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) < 1e-12 THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"positions\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n b.\\\"Class\\\",\\n b.\\\"pos\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"bounds\\\" AS b\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"Class\\\" = b.\\\"Class\\\"\\n GROUP BY b.\\\"Class\\\", b.\\\"pos\\\", b.\\\"lower_rn\\\", b.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"Class\\\" and measure_col=\\\"ConvexArea\\\", emulating SQLite-compatible PERCENTILE_CONT(0.95) via window ordering and linear interpolation. CAST(\\\"ConvexArea\\\" AS REAL) is required because the column is stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":14720,"output_tokens":2161,"reasoning_output_tokens":1579}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..751fb8556a31a2521c5e542cba98f786c6bddd65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Class\",\n CAST(\"ConvexArea\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"ConvexArea\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Class\") AS \"cnt\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"ConvexArea\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"Class\",\n 1.0 + (MAX(\"cnt\") - 1) * 0.95 AS \"pos\"\n FROM \"ordered\"\n GROUP BY \"Class\"\n),\n\"bounds\" AS (\n SELECT\n \"Class\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ABS(\"pos\" - CAST(\"pos\" AS INTEGER)) < 1e-12 THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"positions\"\n),\n\"picked\" AS (\n SELECT\n b.\"Class\",\n b.\"pos\",\n b.\"lower_rn\",\n b.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_val\"\n FROM \"bounds\" AS b\n JOIN \"ordered\" AS o\n ON o.\"Class\" = b.\"Class\"\n GROUP BY b.\"Class\", b.\"pos\", b.\"lower_rn\", b.\"upper_rn\"\n)\nSELECT\n \"Class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Uses the planned template with group_col=\"Class\" and measure_col=\"ConvexArea\", emulating SQLite-compatible PERCENTILE_CONT(0.95) via window ordering and linear interpolation. CAST(\"ConvexArea\" AS REAL) is required because the column is stored as TEXT in the schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_949420351d177f99/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ab03a1da7e2580e379a77eab5622875a2bc96b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11076, "bytes_utf8": 11076, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 473, "bytes_utf8": 473, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15435, "cached_input_tokens": 14720, "output_tokens": 319, "reasoning_output_tokens": 187}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ced8c4f3f4308928be4c126ea5f41032157a8b3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_94e20d7423bc4ab5", + "api_calls": 0, + "input_tokens": 15435, + "cached_input_tokens": 14720, + "output_tokens": 319, + "total_tokens": 15754, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8461.65, + "sql_execution_elapsed_ms_total": 19.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..392060be9307c49d36865fbd871896880051254f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:15.371529+00:00", + "ended_at": "2026-05-19T16:03:23.833214+00:00", + "elapsed_ms": 8461.65, + "prompt_metrics": { + "chars": 11076, + "bytes_utf8": 11076, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 845, + "bytes_utf8": 845, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 473, + "bytes_utf8": 473, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15435, + "cached_input_tokens": 14720, + "output_tokens": 319, + "reasoning_output_tokens": 187 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0056483db361a43473d5ad39572fc78a497f5948 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=AspectRation.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "AspectRation", + "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": 1.637208, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b3be55f6f08cc74c9932d3c80922bdf7fe35a06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-243c-7df2-9c63-760f3b82abae"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"AspectRation\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"AspectRation\\\" AS REAL)) > 1.637208\\nORDER BY \\\"total_measure\\\" DESC\\nLIMIT 17;\",\"notes\":\"Used the provided Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"AspectRation\\\". CAST to REAL is needed because the SQLite schema stores \\\"AspectRation\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15435,"cached_input_tokens":14720,"output_tokens":319,"reasoning_output_tokens":187}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e3ebdc3e882ae08c5173b8457e272a260175cf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"AspectRation\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"AspectRation\" AS REAL)) > 1.637208\nORDER BY \"total_measure\" DESC\nLIMIT 17;","notes":"Used the provided Thresholded Group Ranking template with group_col=\"Class\" and measure_col=\"AspectRation\". CAST to REAL is needed because the SQLite schema stores \"AspectRation\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_94e20d7423bc4ab5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddf7d85f2801db7d155fbe0d87e2da00c774ed79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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=Class, condition_col=Class. +Result preview: [{"Class": "SIRA", "condition_ratio": 0.0}, {"Class": "BARBUNYA", "condition_ratio": null}, {"Class": "BOMBAY", "condition_ratio": null}, {"Class": "CALI", "condition_ratio": null}, {"Class": "DERMASON", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7bdad7059afd9a9a88f73e26641307409aaaade6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_9852ae87a04d10c9 +-- problem_id: v2p_n10_699e2715fb4e74aa +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Class", + SUM(CASE WHEN "Class" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Class" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count + FROM "n10" + GROUP BY "Class" +) +SELECT "Class", + 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_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05e1ba53965cd7adb11bc1a48a7e8657ef6c4c03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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 \"Class\",\n SUM(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n10\"\n GROUP BY \"Class\"\n)\nSELECT \"Class\",\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 \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Class\", \"condition_ratio\"], \"rows\": [{\"Class\": \"SIRA\", \"condition_ratio\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_ratio\": null}, {\"Class\": \"BOMBAY\", \"condition_ratio\": null}, {\"Class\": \"CALI\", \"condition_ratio\": null}, {\"Class\": \"DERMASON\", \"condition_ratio\": null}, {\"Class\": \"HOROZ\", \"condition_ratio\": null}, {\"Class\": \"SEKER\", \"condition_ratio\": null}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d85c661a64e7e7d0979c0011e7ff978965ff693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:39:49.004743+00:00", + "ended_at": "2026-05-19T15:40:02.448568+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_9852ae87a04d10c9", + "problem_id": "v2p_n10_699e2715fb4e74aa", + "dataset_id": "n10", + "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=Class, condition_col=Class.", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_9852ae87a04d10c9.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_9852ae87a04d10c9", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 650, + "total_tokens": 16250, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13420.4, + "sql_execution_elapsed_ms_total": 14.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..446c46ff31ca940d800b88f06dc68cbc0e837d8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:02.431385+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": 13420.4, "started_at": "2026-05-19T15:39:49.009250+00:00", "ended_at": "2026-05-19T15:40:02.429696+00:00", "prompt_metrics": {"chars": 11713, "bytes_utf8": 11713, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 666, "bytes_utf8": 666, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 12032, "output_tokens": 650, "reasoning_output_tokens": 470}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped-ratio template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\", using 'DERMASON' as the numerator condition and 'SIRA' as the denominator condition.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8ec187820aa87953974d7d9dbf574c52543deba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_9852ae87a04d10c9", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 650, + "total_tokens": 16250, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13420.4, + "sql_execution_elapsed_ms_total": 14.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c086ba8a33d7ba1dba35692eb4429f397ac624ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/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=Class, measure_col=Extent. +Result preview: [{"Class": "BOMBAY", "Solidity": "0.9831159411673781", "total_measure": 0.8584198504983389, "share_within_group": 0.21176531423665507}, {"Class": "BOMBAY", "Solidity": "0.99160867409706033", "total_measure": 0.8522686025408348, "share_within_group": 0.21024785054343753}, {"Class": "BOMBAY", "Solidity": "0.98974889844455061", "total_measure": 0.8486226421964896, "share_within_group": 0.20934842127515302}, {"Class": "BOMBAY", "Solidity": "0.98411768740865035", "total_measure": 0.8440161464037144, "share_within_group": 0.2082120355910142}, {"Class": "BOMBAY", "Solidity": "0.99040489880543403", "total_measure": 0.8424641381361059, "share_within_group": 0.20782916755936606}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d89d53cbf8a234de3107a00686f15a23967a3003 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_996a135f9a1da279 +-- problem_id: v2p_n10_dd678fde8a209a98 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", "Solidity", + SUM(CAST("Extent" AS REAL)) AS total_measure, + SUM(CAST("Extent" AS REAL)) * 100.0 / SUM(SUM(CAST("Extent" AS REAL))) OVER (PARTITION BY "Class") AS share_within_group +FROM "n10" +GROUP BY "Class", "Solidity" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2427106ebac1f1d70bedfbc723d8f451c248e772 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/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 \"Class\", \"Solidity\",\n SUM(CAST(\"Extent\" AS REAL)) AS total_measure,\n SUM(CAST(\"Extent\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Extent\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Solidity\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Solidity\\\",\\n SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Extent\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Extent\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Solidity\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Class\", \"Solidity\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"Solidity\": \"0.9831159411673781\", \"total_measure\": 0.8584198504983389, \"share_within_group\": 0.21176531423665507}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99160867409706033\", \"total_measure\": 0.8522686025408348, \"share_within_group\": 0.21024785054343753}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98974889844455061\", \"total_measure\": 0.8486226421964896, \"share_within_group\": 0.20934842127515302}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98411768740865035\", \"total_measure\": 0.8440161464037144, \"share_within_group\": 0.2082120355910142}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99040489880543403\", \"total_measure\": 0.8424641381361059, \"share_within_group\": 0.20782916755936606}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99051085011353901\", \"total_measure\": 0.8402633078473563, \"share_within_group\": 0.20728624032229429}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9809270593882996\", \"total_measure\": 0.8398144196266262, \"share_within_group\": 0.20717550318700453}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9887322658637836\", \"total_measure\": 0.8390409135999612, \"share_within_group\": 0.20698468543423992}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9831688972846756\", \"total_measure\": 0.8382692209101629, \"share_within_group\": 0.206794315017183}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99001453617728208\", \"total_measure\": 0.837849915894655, \"share_within_group\": 0.20669087582211024}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99142828924455628\", \"total_measure\": 0.836654749632619, \"share_within_group\": 0.2063960378603621}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98767714929317652\", \"total_measure\": 0.8365520401418184, \"share_within_group\": 0.20637070025012175}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99185860638497536\", \"total_measure\": 0.8364770606149916, \"share_within_group\": 0.20635220340029872}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99120228679938993\", \"total_measure\": 0.8344557823129252, \"share_within_group\": 0.20585357020286235}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98970535836645201\", \"total_measure\": 0.83441324361297, \"share_within_group\": 0.20584307624567114}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99254847511780375\", \"total_measure\": 0.8331413400530981, \"share_within_group\": 0.20552930780604498}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9877248632418435\", \"total_measure\": 0.8330162388123694, \"share_within_group\": 0.20549844633011458}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99092733241725073\", \"total_measure\": 0.8327543304423454, \"share_within_group\": 0.2054338356291305}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98715424082696257\", \"total_measure\": 0.8325044930272767, \"share_within_group\": 0.20537220273622925}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98229703708304861\", \"total_measure\": 0.8292867106463758, \"share_within_group\": 0.2045784015483361}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99171098265895952\", \"total_measure\": 0.8280372207957682, \"share_within_group\": 0.20427016239159268}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98759051358969308\", \"total_measure\": 0.8280024301770813, \"share_within_group\": 0.20426157982410606}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98782517204728215\", \"total_measure\": 0.8278955513964872, \"share_within_group\": 0.20423521368340625}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98798881773559144\", \"total_measure\": 0.8270340136054422, \"share_within_group\": 0.20402267919816403}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9872913080176825\", \"total_measure\": 0.8268791437015736, \"share_within_group\": 0.20398447403103107}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98613577421815413\", \"total_measure\": 0.8263517452265777, \"share_within_group\": 0.20385436904368648}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99021582220954896\", \"total_measure\": 0.8258323424494649, \"share_within_group\": 0.20372623653108576}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98264033058504852\", \"total_measure\": 0.8253248640345414, \"share_within_group\": 0.20360104566330445}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98358877889824325\", \"total_measure\": 0.8248948239594469, \"share_within_group\": 0.20349495821485614}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98319252470370477\", \"total_measure\": 0.8245744931222866, \"share_within_group\": 0.20341593515830456}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99211865207357719\", \"total_measure\": 0.8243209149777142, \"share_within_group\": 0.20335337945734103}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98959264012302561\", \"total_measure\": 0.8240299032383152, \"share_within_group\": 0.20328158918780728}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99340977461162361\", \"total_measure\": 0.8239612724757953, \"share_within_group\": 0.20326465852738174}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98776488469295298\", \"total_measure\": 0.8238517796196977, \"share_within_group\": 0.20323764751515422}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99024574723141912\", \"total_measure\": 0.8237001424501424, \"share_within_group\": 0.20320023983773133}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98394410620943329\", \"total_measure\": 0.8233414521446976, \"share_within_group\": 0.20311175380702962}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99097811995661034\", \"total_measure\": 0.8232087912087912, \"share_within_group\": 0.20307902741473705}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98901898641312325\", \"total_measure\": 0.823023199023199, \"share_within_group\": 0.20303324330632086}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98919036420765571\", \"total_measure\": 0.8229465792761788, \"share_within_group\": 0.2030143418272893}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99172634885340039\", \"total_measure\": 0.8226219468519447, \"share_within_group\": 0.20293425760359687}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99027320051449363\", \"total_measure\": 0.8222613367069577, \"share_within_group\": 0.2028452979638288}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.99013505644782884\", \"total_measure\": 0.8219944431929113, \"share_within_group\": 0.20277945746766954}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98829999999999996\", \"total_measure\": 0.8212061576139246, \"share_within_group\": 0.20258499371750646}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98773325038167314\", \"total_measure\": 0.8208231292517006, \"share_within_group\": 0.20249050368277483}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98453388756526583\", \"total_measure\": 0.8208124487570684, \"share_within_group\": 0.2024878688901373}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9911761177099353\", \"total_measure\": 0.820354956939354, \"share_within_group\": 0.20237500931625543}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98920432033014816\", \"total_measure\": 0.8202722307561017, \"share_within_group\": 0.20235460142822503}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98690123507689043\", \"total_measure\": 0.8197036478996571, \"share_within_group\": 0.2022143365832373}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.98441199343299057\", \"total_measure\": 0.8195643416206262, \"share_within_group\": 0.20217997083792397}, {\"Class\": \"BOMBAY\", \"Solidity\": \"0.9919565620626275\", \"total_measure\": 0.8195319030370577, \"share_within_group\": 0.2021719684986971}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 79.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..89aa055cc68bf0729e481b68fbba6e301fa41666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:33:16.407151+00:00", + "ended_at": "2026-05-19T15:33:35.950851+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_996a135f9a1da279", + "problem_id": "v2p_n10_dd678fde8a209a98", + "dataset_id": "n10", + "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=Class, measure_col=Extent.", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "item_col": "Solidity", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_996a135f9a1da279.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_996a135f9a1da279", + "api_calls": 0, + "input_tokens": 15505, + "cached_input_tokens": 14720, + "output_tokens": 528, + "total_tokens": 16033, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19457.79, + "sql_execution_elapsed_ms_total": 79.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..010993a7e3235120a781ac0cc1d992d5f4fbf3a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:35.868981+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": 19457.79, "started_at": "2026-05-19T15:33:16.409545+00:00", "ended_at": "2026-05-19T15:33:35.867367+00:00", "prompt_metrics": {"chars": 11303, "bytes_utf8": 11303, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 604, "bytes_utf8": 604, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15505, "cached_input_tokens": 14720, "output_tokens": 528, "reasoning_output_tokens": 364}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Solidity\\\",\\n SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Extent\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Extent\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Solidity\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"Solidity\\\", and measure_col=\\\"Extent\\\". CAST(\\\"Extent\\\" AS REAL) is applied because the SQLite schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..318f3cc070dd297d50f469fb1438dac61f9ae22d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_996a135f9a1da279", + "api_calls": 0, + "input_tokens": 15505, + "cached_input_tokens": 14720, + "output_tokens": 528, + "total_tokens": 16033, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19457.79, + "sql_execution_elapsed_ms_total": 79.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..035781c7834e4c6ac786d88d22ae520a6cba1e8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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=Class, measure_col=Compactness. +Result preview: [{"Class": "SEKER", "percentile_measure": 0.9405436666884859}, {"Class": "BARBUNYA", "percentile_measure": 0.8636573508858352}, {"Class": "DERMASON", "percentile_measure": 0.8621172334532455}, {"Class": "BOMBAY", "percentile_measure": 0.8435309883441328}, {"Class": "SIRA", "percentile_measure": 0.836103396536375}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..085347d4376bbb150aa1a8193b1f9249c499d750 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_9ad3be9125be9a72 +-- problem_id: v2p_n10_c32be8866cf82b3e +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Class", + CAST("Compactness" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY CAST("Compactness" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Class" + ) AS "cnt" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "Compactness" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "Class", + "cnt", + (1.0 + (0.95 * ("cnt" - 1))) AS "rank_pos", + CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + (0.95 * ("cnt" - 1))) = CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + THEN CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + ELSE CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"bounds" AS ( + SELECT + p."Class", + p."rank_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) AS "lower_value", + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_value" END) AS "upper_value" + FROM "positions" AS p + JOIN "ranked" AS r + ON r."Class" = p."Class" + GROUP BY + p."Class", + p."rank_pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "Class", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("rank_pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6547ae9da04425bdf1396d346c65515146e906c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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 \"Class\",\n CAST(\"Compactness\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"Compactness\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Compactness\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"Class\",\n \"cnt\",\n (1.0 + (0.95 * (\"cnt\" - 1))) AS \"rank_pos\",\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 \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n p.\"Class\",\n p.\"rank_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS r\n ON r.\"Class\" = p.\"Class\"\n GROUP BY\n p.\"Class\",\n p.\"rank_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"Class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"rank_pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"Compactness\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Compactness\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Compactness\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Class\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS \\\"rank_pos\\\",\\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 \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Class\\\",\\n p.\\\"rank_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"Class\\\" = p.\\\"Class\\\"\\n GROUP BY\\n p.\\\"Class\\\",\\n p.\\\"rank_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"rank_pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"SEKER\", \"percentile_measure\": 0.9405436666884859}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 0.8636573508858352}, {\"Class\": \"DERMASON\", \"percentile_measure\": 0.8621172334532455}, {\"Class\": \"BOMBAY\", \"percentile_measure\": 0.8435309883441328}, {\"Class\": \"SIRA\", \"percentile_measure\": 0.836103396536375}, {\"Class\": \"CALI\", \"percentile_measure\": 0.7905684053640413}, {\"Class\": \"HOROZ\", \"percentile_measure\": 0.7428608136801226}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 71.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c347755785587818343feb125ae76ee7867e4e62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:55:48.959324+00:00", + "ended_at": "2026-05-19T15:56:07.463469+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_9ad3be9125be9a72", + "problem_id": "v2p_n10_c32be8866cf82b3e", + "dataset_id": "n10", + "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=Class, measure_col=Compactness.", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "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": 0.820544, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_9ad3be9125be9a72.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_9ad3be9125be9a72", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 1140, + "total_tokens": 16566, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18427.22, + "sql_execution_elapsed_ms_total": 71.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af667dd30e2d39cecd078eefec6efeffcd58369a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:07.389900+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": 18427.22, "started_at": "2026-05-19T15:55:48.961634+00:00", "ended_at": "2026-05-19T15:56:07.388876+00:00", "prompt_metrics": {"chars": 11084, "bytes_utf8": 11084, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1882, "bytes_utf8": 1882, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 1140, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"Compactness\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Compactness\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Compactness\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Class\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS \\\"rank_pos\\\",\\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 \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Class\\\",\\n p.\\\"rank_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"u"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d60b8a0b3dedfaee215ded623a5ee41e40522a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_9ad3be9125be9a72", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 1140, + "total_tokens": 16566, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18427.22, + "sql_execution_elapsed_ms_total": 71.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..976ea98234bbf65d8a726be3436a052e36b8ed1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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=Class, measure_col=MajorAxisLength. +Result preview: [{"Class": "DERMASON", "total_measure": 874292.111016558}, {"Class": "SIRA", "total_measure": 789166.3600450326}, {"Class": "HOROZ", "total_measure": 718315.5192607518}, {"Class": "CALI", "total_measure": 667484.2476789233}, {"Class": "SEKER", "total_measure": 509368.7975495902}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd3dd7d5da259e0fec7a38fd646522113d93d3ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_9b763d78d096788d +-- problem_id: v2p_n10_d2468a302f3e9c6f +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("MajorAxisLength" AS REAL)) AS total_measure +FROM "n10" +GROUP BY "Class" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3573f6ec870f5b2a3fe0e96c36dc669a8ce7a996 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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 \"Class\", SUM(CAST(\"MajorAxisLength\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"MajorAxisLength\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 874292.111016558}, {\"Class\": \"SIRA\", \"total_measure\": 789166.3600450326}, {\"Class\": \"HOROZ\", \"total_measure\": 718315.5192607518}, {\"Class\": \"CALI\", \"total_measure\": 667484.2476789233}, {\"Class\": \"SEKER\", \"total_measure\": 509368.7975495902}, {\"Class\": \"BARBUNYA\", \"total_measure\": 489198.5373565911}, {\"Class\": \"BOMBAY\", \"total_measure\": 309625.3829570263}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 19.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d1ca9f2c6eb8c5549a4028a0162ab87084e1f394 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:29:07.429563+00:00", + "ended_at": "2026-05-19T15:29:15.269525+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_9b763d78d096788d", + "problem_id": "v2p_n10_d2468a302f3e9c6f", + "dataset_id": "n10", + "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=Class, measure_col=MajorAxisLength.", + "bindings": { + "group_col": "Class", + "measure_col": "MajorAxisLength", + "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": 351.394392, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_d/n10/sql/v2q_n10_9b763d78d096788d.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_9b763d78d096788d", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 259, + "total_tokens": 15649, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7813.08, + "sql_execution_elapsed_ms_total": 19.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e7ddfb54586daafd4818e4d8544a18ed2246ef05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:15.246904+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": 7813.08, "started_at": "2026-05-19T15:29:07.432220+00:00", "ended_at": "2026-05-19T15:29:15.245334+00:00", "prompt_metrics": {"chars": 10914, "bytes_utf8": 10914, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 259, "reasoning_output_tokens": 159}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"MajorAxisLength\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the requested grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"MajorAxisLength\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1cd7e1ce6eaeb70f5ac980009a8ab403de7dd9a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_9b763d78d096788d", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 259, + "total_tokens": 15649, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7813.08, + "sql_execution_elapsed_ms_total": 19.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb9ac48ae142ec711bab1e5bf9e0b49cd7987ab8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/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": "2026-05-19T16:03:58.838355+00:00", + "ended_at": "2026-05-19T16:04:01.893224+00:00", + "elapsed_ms": 3054.85, + "returncode": 1, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f14f8eadb4fa099f9f630b7ecbfaefb6cc65ae8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:02.895048+00:00", + "ended_at": "2026-05-19T16:04:06.183241+00:00", + "elapsed_ms": 3288.15, + "returncode": 1, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b3879814ec51bd9644ffc98ee1309d249d1ee42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=EquivDiameter.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 279.446467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b3879814ec51bd9644ffc98ee1309d249d1ee42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=EquivDiameter.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 279.446467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..969d75a953de2ae2fa233400b05f65fb64da242f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-cdfb-75d3-9dd2-95031827fdbe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0af0cebce52009f310440976e4bfacf2b06ed028 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-cdfb-75d3-9dd2-95031827fdbe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a5108b005a3c5195fb8bfa9142b3d7b2254418e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-ddc9-7dd1-8138-6ec5d41d4dc1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..60a913ef84d4c0443b258a3eddda81eba5146083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-ddc9-7dd1-8138-6ec5d41d4dc1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9cce1a26946bfeba/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35a7f49779ca1a99f197f36e39e7573ace6da55d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11150, "bytes_utf8": 11150, "lines": 303, "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": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15451, "cached_input_tokens": 14720, "output_tokens": 278, "reasoning_output_tokens": 180}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..245a9ae37349c683e3afd4de89b9bc400f6f67c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_a0f5e6317c42fcc8", + "api_calls": 0, + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 278, + "total_tokens": 15729, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7942.96, + "sql_execution_elapsed_ms_total": 12.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4e6462d98b9ecb344e37e595b3b60fbe120bbca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:26.058627+00:00", + "ended_at": "2026-05-19T15:57:34.001627+00:00", + "elapsed_ms": 7942.96, + "prompt_metrics": { + "chars": 11150, + "bytes_utf8": 11150, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 703, + "bytes_utf8": 703, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 352, + "bytes_utf8": 352, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 278, + "reasoning_output_tokens": 180 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e0b38483a5dc7320f1e1c6b03d7b4cc1a620816 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1fa637b7ae7d3fbbbaa8b4d1287b2d05e90455b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-cfc0-7a73-bd7b-9c44d8d3265f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with both group and condition bound to \\\"Class\\\" and condition value 'SIRA'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15451,"cached_input_tokens":14720,"output_tokens":278,"reasoning_output_tokens":180}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c4037b673d1b0bccea029270511b6b6a6fdf679 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;","notes":"Uses the provided Grouped Condition Rate template with both group and condition bound to \"Class\" and condition value 'SIRA'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a0f5e6317c42fcc8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ffdb54720b8271cbbe91188caa0980e96f428d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:54:03.248115+00:00", + "ended_at": "2026-05-19T15:54:10.288456+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_a1cb4d5cf527682d", + "problem_id": "v2p_n10_2bc84fa5da9d3877", + "dataset_id": "n10", + "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=Class, measure_col=Solidity.", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "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": 0.990013, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb9e509f70e1b1fbd006b840728ff5464e32c6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:06.418244+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": 3166.93, "started_at": "2026-05-19T15:54:03.250490+00:00", "ended_at": "2026-05-19T15:54:06.417451+00:00", "prompt_metrics": {"chars": 11074, "bytes_utf8": 11074, "lines": 300, "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\":\"019e40f1-b780-7fa3-9e06-84c6ff64e409\"}\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": "2026-05-19T15:54:10.288336+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": 2867.54, "started_at": "2026-05-19T15:54:07.419868+00:00", "ended_at": "2026-05-19T15:54:10.287453+00:00", "prompt_metrics": {"chars": 11074, "bytes_utf8": 11074, "lines": 300, "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\":\"019e40f1-c7d5-71a0-b182-e40f3d3d426e\"}\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_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..666891803267a3199df4d6b4f927aec61973a505 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11084, "bytes_utf8": 11084, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 807, "bytes_utf8": 807, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 12032, "output_tokens": 1264, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f3fa314e89496f40a0af2fe11db7456d8083b6ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_a29b8a41dc89f6ee", + "api_calls": 0, + "input_tokens": 15428, + "cached_input_tokens": 12032, + "output_tokens": 1264, + "total_tokens": 16692, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23899.72, + "sql_execution_elapsed_ms_total": 36.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..53d7d6113473e8ea49f69ade5740e610ce61d8e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/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": "2026-05-19T15:56:48.585247+00:00", + "ended_at": "2026-05-19T15:57:12.485025+00:00", + "elapsed_ms": 23899.72, + "prompt_metrics": { + "chars": 11084, + "bytes_utf8": 11084, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1227, + "bytes_utf8": 1227, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 807, + "bytes_utf8": 807, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15428, + "cached_input_tokens": 12032, + "output_tokens": 1264, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eab61138aeb9f26caa0204321fba35b7f4559bca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=ShapeFactor1.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor1", + "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": 0.006999, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f8977e7bb98ddc2ae365626e61ada953a985c1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-3d6f-77b3-bdd8-1e1b6f45668a"} +{"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 \\\"Class\\\",\\n CAST(\\\"ShapeFactor1\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"ShapeFactor1\\\" AS REAL)\\n ) AS \\\"cdf\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ShapeFactor1\\\" IS NOT NULL\\n AND \\\"ShapeFactor1\\\" <> ''\\n)\\nSELECT\\n \\\"Class\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cdf\\\" >= 0.9\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() and takes the smallest ShapeFactor1 value at or above the 0.9 cumulative threshold within each Class as a SQLite-compatible nearest-rank percentile substitute.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":12032,"output_tokens":1264,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..992d789054f93ebfbc0cdae0ae85f9a76ea78181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Class\",\n CAST(\"ShapeFactor1\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"ShapeFactor1\" AS REAL)\n ) AS \"cdf\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"ShapeFactor1\" IS NOT NULL\n AND \"ShapeFactor1\" <> ''\n)\nSELECT\n \"Class\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cdf\" >= 0.9\nGROUP BY \"Class\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() and takes the smallest ShapeFactor1 value at or above the 0.9 cumulative threshold within each Class as a SQLite-compatible nearest-rank percentile substitute."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a29b8a41dc89f6ee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c21f35931a8a266f5e9b0db6fb1d2470739549a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class. +Result preview: [{"Class": "BOMBAY", "support": 522}, {"Class": "BARBUNYA", "support": 1322}, {"Class": "CALI", "support": 1630}, {"Class": "HOROZ", "support": 1928}, {"Class": "SEKER", "support": 2027}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a3d90403599cab825d115590ea0a8132b0f4a7fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n10_a4b8a49647b3bfab +-- problem_id: v2p_n10_b2bb1dde01ec725b +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + COUNT(*) AS support +FROM "n10" +GROUP BY "Class" +ORDER BY support ASC, "Class" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d5e939bbe84825e95e3db6f81664afa6399c8eb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS support\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY support ASC, \"Class\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS support\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 11;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"BOMBAY\", \"support\": 522}, {\"Class\": \"BARBUNYA\", \"support\": 1322}, {\"Class\": \"CALI\", \"support\": 1630}, {\"Class\": \"HOROZ\", \"support\": 1928}, {\"Class\": \"SEKER\", \"support\": 2027}, {\"Class\": \"SIRA\", \"support\": 2636}, {\"Class\": \"DERMASON\", \"support\": 3546}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..40a558342c6a585ffa2de66bfdd87088f6f79168 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:02:47.816982+00:00", + "ended_at": "2026-05-19T16:02:58.293554+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_a4b8a49647b3bfab", + "problem_id": "v2p_n10_b2bb1dde01ec725b", + "dataset_id": "n10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.", + "bindings": { + "group_col": "Class", + "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": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_d/n10/sql/v2q_n10_a4b8a49647b3bfab.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_a4b8a49647b3bfab", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 12288, + "output_tokens": 199, + "total_tokens": 15598, + "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": 9462.64, + "sql_execution_elapsed_ms_total": 5.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7882b0b37be2bcc2c5bbdbb9abadb109950242d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:50.946223+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": 3123.59, "started_at": "2026-05-19T16:02:47.821524+00:00", "ended_at": "2026-05-19T16:02:50.945151+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "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-b896-7ec0-8263-958fd4401a0b\"}\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": "2026-05-19T16:02:58.287099+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": 6339.05, "started_at": "2026-05-19T16:02:51.947191+00:00", "ended_at": "2026-05-19T16:02:58.286276+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 304, "bytes_utf8": 304, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 12288, "output_tokens": 199, "reasoning_output_tokens": 110}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS support\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 11;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k set to 11.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8658c1e6cf870cb43ea3abc778cbb5c31248bde1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_a4b8a49647b3bfab", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 12288, + "output_tokens": 199, + "total_tokens": 15598, + "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": 9462.64, + "sql_execution_elapsed_ms_total": 5.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..202e5ed4b34598f79eb3478c3ff384efd224a4ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11714, "bytes_utf8": 11714, "lines": 303, "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": 786, "bytes_utf8": 786, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 12032, "output_tokens": 390, "reasoning_output_tokens": 192}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81203d958fe3b28f07aa35525a5c132a53a2b2f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_a532a80ac5ff084e", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 390, + "total_tokens": 15990, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10204.67, + "sql_execution_elapsed_ms_total": 10.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..370ec3f7e92e043e1f1684686dd097c10214673b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:51.503812+00:00", + "ended_at": "2026-05-19T15:39:01.708517+00:00", + "elapsed_ms": 10204.67, + "prompt_metrics": { + "chars": 11714, + "bytes_utf8": 11714, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1155, + "bytes_utf8": 1155, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 786, + "bytes_utf8": 786, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 390, + "reasoning_output_tokens": 192 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0aff38e49a58df77d64d8bec39152e118309123 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..99412eb27bad710408cb4a0e4c363fdb87919b0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-cdfa-7012-9ef9-cdda786eaaf4"} +{"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 \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped-ratio template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because the grouping column and condition column are the same, this probes class-to-class contrast directly and will yield non-null ratios only where the grouped class has SIRA support in the denominator.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":12032,"output_tokens":390,"reasoning_output_tokens":192}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a19da149b455d6e7626c2b4e5c62222934f21879 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Class\",\n SUM(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n10\"\n GROUP BY \"Class\"\n)\nSELECT \"Class\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided grouped-ratio template with group_col=\"Class\" and condition_col=\"Class\". Because the grouping column and condition column are the same, this probes class-to-class contrast directly and will yield non-null ratios only where the grouped class has SIRA support in the denominator."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a532a80ac5ff084e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91a826be3b93fc223601139f13759e963c37f0f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11461, "bytes_utf8": 11461, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 603, "bytes_utf8": 603, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 407, "reasoning_output_tokens": 247}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..91cb71cb7ea68a9fd3211739ac1cf5a87f53aedb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_a725a862fcaee0e2", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 407, + "total_tokens": 15933, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9767.66, + "sql_execution_elapsed_ms_total": 23.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9b29bc95c65adb36fe31f6774c21bce8fcedc662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:54.390457+00:00", + "ended_at": "2026-05-19T15:49:04.158168+00:00", + "elapsed_ms": 9767.66, + "prompt_metrics": { + "chars": 11461, + "bytes_utf8": 11461, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 970, + "bytes_utf8": 970, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 603, + "bytes_utf8": 603, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 407, + "reasoning_output_tokens": 247 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fc979c5c568a2569fee638a1abeaa920f93ce84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=ShapeFactor4.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor4", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.997393, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..269436108e5e95b84fcaea9a02a1bdfc7f771b9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-0109-7813-916b-e2d01d4352e5"} +{"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 \\\"Class\\\", SUM(CAST(\\\"ShapeFactor4\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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 required template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor4\\\". CAST to REAL is included because the SQLite schema stores feature values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":407,"reasoning_output_tokens":247}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dad6d5853e707358f2d09c3ad0a3e3a5ade0045e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"ShapeFactor4\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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 required template with group_col=\"Class\" and measure_col=\"ShapeFactor4\". CAST to REAL is included because the SQLite schema stores feature values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a725a862fcaee0e2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..577adcd935895ddb09063d59f46ed2655b012a54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11299, "bytes_utf8": 11299, "lines": 302, "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": 604, "bytes_utf8": 604, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15505, "cached_input_tokens": 12032, "output_tokens": 955, "reasoning_output_tokens": 786}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5a8bc66da8a7d2dee5073e99061489bf1ed0e17d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ac76561463fb5dbc", + "api_calls": 0, + "input_tokens": 15505, + "cached_input_tokens": 12032, + "output_tokens": 955, + "total_tokens": 16460, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17806.95, + "sql_execution_elapsed_ms_total": 44.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5e727e82fd20204b17c573909a553363ee6d318 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/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": "2026-05-19T15:37:40.209874+00:00", + "ended_at": "2026-05-19T15:37:58.016847+00:00", + "elapsed_ms": 17806.95, + "prompt_metrics": { + "chars": 11299, + "bytes_utf8": 11299, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 993, + "bytes_utf8": 993, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 604, + "bytes_utf8": 604, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15505, + "cached_input_tokens": 12032, + "output_tokens": 955, + "reasoning_output_tokens": 786 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc3ec0795746cae726e8b462c0a5800eaf2e82cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=Area.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "item_col": "Perimeter", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be6cdc9605e7be68698667be2e33c85a2d7c1fe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-b774-7cb3-822d-bd730f8f61a5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Perimeter\\\",\\n SUM(CAST(\\\"Area\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Area\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Area\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Perimeter\\\"\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Uses the bound template roles with group_col=\\\"Class\\\", item_col=\\\"Perimeter\\\", and measure_col=\\\"Area\\\". Casts \\\"Area\\\" from TEXT to REAL for numeric aggregation; grouping by exact \\\"Perimeter\\\" values may be highly granular.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15505,"cached_input_tokens":12032,"output_tokens":955,"reasoning_output_tokens":786}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89cb091ba670569dc5900c76c85d6f35f712367f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"Perimeter\",\n SUM(CAST(\"Area\" AS REAL)) AS total_measure,\n SUM(CAST(\"Area\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Area\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Perimeter\"\nORDER BY share_within_group DESC\nLIMIT 12;","notes":"Uses the bound template roles with group_col=\"Class\", item_col=\"Perimeter\", and measure_col=\"Area\". Casts \"Area\" from TEXT to REAL for numeric aggregation; grouping by exact \"Perimeter\" values may be highly granular."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac76561463fb5dbc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d287e9f5bffa05b84bf0b5b325da6ff5dc33cfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Compactness. +Result preview: [{"Class": "DERMASON", "total_measure": 2904.5641991076677}, {"Class": "SIRA", "total_measure": 2101.8005223567916}, {"Class": "SEKER", "total_measure": 1817.89676814721}, {"Class": "HOROZ", "total_measure": 1351.2975228338541}, {"Class": "CALI", "total_measure": 1233.4260189432518}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e003a3cbc673b4fc847ba8becbf0759e9759940 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n10_ac85b23a533e13b7 +-- problem_id: v2p_n10_611daf745af9a7cc +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("Compactness" AS REAL)) AS total_measure +FROM "n10" +WHERE "Compactness" IS NOT NULL AND TRIM("Compactness") <> '' +GROUP BY "Class" +HAVING SUM(CAST("Compactness" AS REAL)) > 0.83427 +ORDER BY total_measure DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd43684ef0e68da36b8d96e935b343398decdfb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/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_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"Compactness\" AS REAL)) AS total_measure\nFROM \"n10\"\nWHERE \"Compactness\" IS NOT NULL AND TRIM(\"Compactness\") <> ''\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Compactness\" AS REAL)) > 0.83427\nORDER BY total_measure DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Compactness\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nWHERE \\\"Compactness\\\" IS NOT NULL AND TRIM(\\\"Compactness\\\") <> ''\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Compactness\\\" AS REAL)) > 0.83427\\nORDER BY total_measure DESC\\nLIMIT 14;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 2904.5641991076677}, {\"Class\": \"SIRA\", \"total_measure\": 2101.8005223567916}, {\"Class\": \"SEKER\", \"total_measure\": 1817.89676814721}, {\"Class\": \"HOROZ\", \"total_measure\": 1351.2975228338541}, {\"Class\": \"CALI\", \"total_measure\": 1233.4260189432518}, {\"Class\": \"BARBUNYA\", \"total_measure\": 1064.2110873717863}, {\"Class\": \"BOMBAY\", \"total_measure\": 413.7484551943897}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a7263670ccb6a898b6d271abafc5261a3ed27bca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:05:20.839891+00:00", + "ended_at": "2026-05-19T16:05:32.221117+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_ac85b23a533e13b7", + "problem_id": "v2p_n10_611daf745af9a7cc", + "dataset_id": "n10", + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "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 Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Compactness.", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.83427, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_d/n10/sql/v2q_n10_ac85b23a533e13b7.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ac85b23a533e13b7", + "api_calls": 0, + "input_tokens": 15432, + "cached_input_tokens": 12032, + "output_tokens": 557, + "total_tokens": 15989, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11365.42, + "sql_execution_elapsed_ms_total": 11.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f857b4afb3feb28ebf55e2752336b97b56c7e95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:32.208308+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": 11365.42, "started_at": "2026-05-19T16:05:20.842110+00:00", "ended_at": "2026-05-19T16:05:32.207549+00:00", "prompt_metrics": {"chars": 11071, "bytes_utf8": 11071, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 565, "bytes_utf8": 565, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 12032, "output_tokens": 557, "reasoning_output_tokens": 407}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Compactness\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nWHERE \\\"Compactness\\\" IS NOT NULL AND TRIM(\\\"Compactness\\\") <> ''\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Compactness\\\" AS REAL)) > 0.83427\\nORDER BY total_measure DESC\\nLIMIT 14;\",\"notes\":\"Used the planned Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"Compactness\\\". Cast \\\"Compactness\\\" from TEXT to REAL for SQLite aggregation and filtered null/empty values for a stable numeric view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c0dc6a944b6723856f83a6a0e8ea408d545b8e86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ac85b23a533e13b7", + "api_calls": 0, + "input_tokens": 15432, + "cached_input_tokens": 12032, + "output_tokens": 557, + "total_tokens": 15989, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11365.42, + "sql_execution_elapsed_ms_total": 11.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91ac451ddc934c81ff9674f7c242fc924ce169d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11072, "bytes_utf8": 11072, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 11072, "bytes_utf8": 11072, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1010, "bytes_utf8": 1010, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15424, "cached_input_tokens": 14720, "output_tokens": 827, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4bfdf3feca0531956282c8f22e9336ee883e7529 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_b039c37965105a3b", + "api_calls": 0, + "input_tokens": 15424, + "cached_input_tokens": 14720, + "output_tokens": 827, + "total_tokens": 16251, + "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": 17858.56, + "sql_execution_elapsed_ms_total": 67.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..699aa1318a2abbda9b6f145f85e47a49ae4b43d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/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": "2026-05-19T15:53:44.315353+00:00", + "ended_at": "2026-05-19T15:53:47.128923+00:00", + "elapsed_ms": 2813.54, + "returncode": 1, + "prompt_metrics": { + "chars": 11072, + "bytes_utf8": 11072, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61c87f7084e6beb6f53807c1565e2eba78eddc36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:48.130853+00:00", + "ended_at": "2026-05-19T15:54:03.175920+00:00", + "elapsed_ms": 15045.02, + "prompt_metrics": { + "chars": 11072, + "bytes_utf8": 11072, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1486, + "bytes_utf8": 1486, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1010, + "bytes_utf8": 1010, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15424, + "cached_input_tokens": 14720, + "output_tokens": 827, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3614157895fbea91be14b82e932d4d5db246f86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=Extent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.778107, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3614157895fbea91be14b82e932d4d5db246f86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=Extent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.778107, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87ff4556bb00cec3f623aa751788df92262c2be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-6d88-70c3-be73-deb443d7b2e7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65fcaa93d1efabdf4f4e59a39bf0cfa53f4f8376 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-6d88-70c3-be73-deb443d7b2e7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..16c1d9530ed1bc90fc455251c66f144c046f4628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-7c63-78c0-a972-06a3f78ce844"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"Class\\\" AS \\\"Class\\\",\\n CAST(\\\"Extent\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Extent\\\" IS NOT NULL\\n),\\n\\\"__ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"__base\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"__ranked\\\"\\nWHERE \\\"rn\\\" >= (\\n CAST((0.9 * \\\"cnt\\\") AS INTEGER) +\\n CASE\\n WHEN (0.9 * \\\"cnt\\\") > CAST((0.9 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END\\n)\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \\\"Class\\\" over numeric-cast \\\"Extent\\\", preserving the grouped percentile-point intent.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15424,"cached_input_tokens":14720,"output_tokens":827,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..38a1e3269c2650a8e5fbb256586b3784476983bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n \"Class\" AS \"Class\",\n CAST(\"Extent\" AS REAL) AS \"measure_value\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Extent\" IS NOT NULL\n),\n\"__ranked\" AS (\n SELECT\n \"Class\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY \"measure_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"__base\"\n)\nSELECT\n \"Class\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"__ranked\"\nWHERE \"rn\" >= (\n CAST((0.9 * \"cnt\") AS INTEGER) +\n CASE\n WHEN (0.9 * \"cnt\") > CAST((0.9 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END\n)\nGROUP BY \"Class\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \"Class\" over numeric-cast \"Extent\", preserving the grouped percentile-point intent."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b039c37965105a3b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fabf04607daa0b70a1cc05323bae4c94336cbb37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11321, "bytes_utf8": 11321, "lines": 302, "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": 621, "bytes_utf8": 621, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15510, "cached_input_tokens": 14720, "output_tokens": 658, "reasoning_output_tokens": 489}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9012b1a11a606b172d50918a6931610a7cc37067 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_b2768c9e6e893a70", + "api_calls": 0, + "input_tokens": 15510, + "cached_input_tokens": 14720, + "output_tokens": 658, + "total_tokens": 16168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15630.84, + "sql_execution_elapsed_ms_total": 79.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70c053ce6b4f924863706ca6d3bc204d09e92b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:10.501281+00:00", + "ended_at": "2026-05-19T15:36:26.132156+00:00", + "elapsed_ms": 15630.84, + "prompt_metrics": { + "chars": 11321, + "bytes_utf8": 11321, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1001, + "bytes_utf8": 1001, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 621, + "bytes_utf8": 621, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15510, + "cached_input_tokens": 14720, + "output_tokens": 658, + "reasoning_output_tokens": 489 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db0cdd6da614af3e6b68f6ffe2b5af53d79bc375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=ShapeFactor2.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor2", + "item_col": "ShapeFactor3", + "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": 0.001996, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..589c29c551c553b4932abb272e4491e99c0ad588 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-5911-7c53-be34-bd89d159cdee"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor3\\\",\\n SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor2\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with bound roles group_col=\\\"Class\\\", item_col=\\\"ShapeFactor3\\\", and measure_col=\\\"ShapeFactor2\\\". CAST to REAL is required because numeric fields are stored as TEXT in the SQLite schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15510,"cached_input_tokens":14720,"output_tokens":658,"reasoning_output_tokens":489}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3897b70ad95477ff3ca3db9411d3cc902bd2a94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor3\",\n SUM(CAST(\"ShapeFactor2\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor2\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor3\"\nORDER BY share_within_group DESC;","notes":"Used the provided template with bound roles group_col=\"Class\", item_col=\"ShapeFactor3\", and measure_col=\"ShapeFactor2\". CAST to REAL is required because numeric fields are stored as TEXT in the SQLite schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b2768c9e6e893a70/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..caf877c644c20974df9dbd2bb1254b6d5a1516c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10986, "bytes_utf8": 10986, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15402, "cached_input_tokens": 14720, "output_tokens": 261, "reasoning_output_tokens": 158}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..273d758f5c32d96f8add0546ba016a5cf71c448c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_b952d778fee8a425", + "api_calls": 0, + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 261, + "total_tokens": 15663, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7837.02, + "sql_execution_elapsed_ms_total": 25.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..807e6c4c273e3d5d46a436fab0b875f3af94ae5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/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": "2026-05-19T15:42:45.455587+00:00", + "ended_at": "2026-05-19T15:42:53.292633+00:00", + "elapsed_ms": 7837.02, + "prompt_metrics": { + "chars": 10986, + "bytes_utf8": 10986, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 766, + "bytes_utf8": 766, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 412, + "bytes_utf8": 412, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 261, + "reasoning_output_tokens": 158 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..439ba3719646c4b0164dd199576d9b9e07c582e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=ConvexArea.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0b51489ff0720cc551c43a7329e292fd766c656 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-5fe9-7431-8f34-f9286bdef2b4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Class\\\",\\n AVG(CAST(\\\"ConvexArea\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the requested Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"ConvexArea\\\". CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15402,"cached_input_tokens":14720,"output_tokens":261,"reasoning_output_tokens":158}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5587ad0d98c18f1886496af58b27592a54d04f12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Class\",\n AVG(CAST(\"ConvexArea\" AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;","notes":"Applied the requested Window Partition Average template with group_col=\"Class\" and measure_col=\"ConvexArea\". 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_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b952d778fee8a425/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6c6f1447940a61bc7ffa4388591ac905b72c21d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11715, "bytes_utf8": 11715, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 714, "bytes_utf8": 714, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 14720, "output_tokens": 701, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4b237140c1c9ac788b8dbb4c3f8eabfa84b76de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_bb98b16fe150fc5d", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 14720, + "output_tokens": 701, + "total_tokens": 16301, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13105.09, + "sql_execution_elapsed_ms_total": 13.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..91714cf0d8f2a06332c1b22ec15ecc0e308d0cf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/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": "2026-05-19T15:39:25.847121+00:00", + "ended_at": "2026-05-19T15:39:38.952256+00:00", + "elapsed_ms": 13105.09, + "prompt_metrics": { + "chars": 11715, + "bytes_utf8": 11715, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1083, + "bytes_utf8": 1083, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 714, + "bytes_utf8": 714, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15600, + "cached_input_tokens": 14720, + "output_tokens": 701, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc7524be09fe01b7c54481e9f190837269ee597b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 279.446467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bf596e55c7c5808d5a1df8407c994959ed83101 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-5420-7812-bd68-0df903a78529"} +{"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 \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\", comparing positive_value='DERMASON' against negative_value='SIRA'. NULLIF preserves SQLite compatibility by avoiding division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":14720,"output_tokens":701,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e74aef4fb7524e289e48ecb9e2858daf26b9d5b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Class\",\n SUM(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n10\"\n GROUP BY \"Class\"\n)\nSELECT \"Class\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the requested grouped ratio template with group_col=\"Class\" and condition_col=\"Class\", comparing positive_value='DERMASON' against negative_value='SIRA'. NULLIF preserves SQLite compatibility by avoiding division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bb98b16fe150fc5d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4323beacd8c99ef046c1c9df19c2d6b01b673bd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ConvexArea": "37023", "support": 5, "avg_response": 36659.2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed84f22d642ac08dab89abf8918a6f502e8423e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_bc1b84355ccfd232 +-- problem_id: v2p_n10_978689e948ec6a09 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ConvexArea", + COUNT(*) AS support, + AVG("Area") AS avg_response +FROM "n10" +GROUP BY "ConvexArea" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c369af45d8c340b9d1e6721b3ab43aedb3c10a5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/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_d\n-- sql_source_dataset_id: n10\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_n10_bc1b84355ccfd232\n-- problem_id: v2p_n10_978689e948ec6a09\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ConvexArea\",\n COUNT(*) AS support,\n AVG(\"Area\") AS avg_response\nFROM \"n10\"\nGROUP BY \"ConvexArea\"\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_d\\n-- sql_source_dataset_id: n10\\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_n10_bc1b84355ccfd232\\n-- problem_id: v2p_n10_978689e948ec6a09\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ConvexArea\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Area\\\") AS avg_response\\nFROM \\\"n10\\\"\\nGROUP BY \\\"ConvexArea\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"ConvexArea\", \"support\", \"avg_response\"], \"rows\": [{\"ConvexArea\": \"37023\", \"support\": 5, \"avg_response\": 36659.2}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..28c6a68abd7c322db0e8468754597eb4707a6448 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:05:40.893564+00:00", + "ended_at": "2026-05-19T16:05:40.902326+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_bc1b84355ccfd232", + "problem_id": "v2p_n10_978689e948ec6a09", + "dataset_id": "n10", + "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=Area, key_col=ConvexArea.", + "bindings": { + "key_col": "ConvexArea", + "measure_col": "Area", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_bc1b84355ccfd232.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_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bc1b84355ccfd232/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_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11a12044681720f4bb10f73a2ad7c4ed49f07399 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10888, "bytes_utf8": 10888, "lines": 298, "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": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15397, "cached_input_tokens": 12032, "output_tokens": 260, "reasoning_output_tokens": 168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bf67b7507dbfdadb2e4255e1766e8e09ce4f9976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_bd10325486b0edde", + "api_calls": 0, + "input_tokens": 15397, + "cached_input_tokens": 12032, + "output_tokens": 260, + "total_tokens": 15657, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8197.5, + "sql_execution_elapsed_ms_total": 5.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..252c3fe6c8e65fbc2a5ecb0c6dfa82a1c6fc53e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:18.148910+00:00", + "ended_at": "2026-05-19T16:02:26.346436+00:00", + "elapsed_ms": 8197.5, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 698, + "bytes_utf8": 698, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 345, + "bytes_utf8": 345, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15397, + "cached_input_tokens": 12032, + "output_tokens": 260, + "reasoning_output_tokens": 168 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09e9e71cddbfcbbfaa543dd2997f1011456862f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.007271, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..03f3e97656bf3d06838f1beef8205d7a9a5a937b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-44bc-76b1-89e2-4cd6df56dedc"} +{"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 \\\"Class\\\",\\n COUNT(*) AS support\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 19;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"Class\\\" to return the least-supported class groups in ascending support order.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15397,"cached_input_tokens":12032,"output_tokens":260,"reasoning_output_tokens":168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2074164de8afb1b8106760364f81ccae38b809c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS support\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY support ASC, \"Class\"\nLIMIT 19;","notes":"Uses the Low-Support Group Count template with group_col bound to \"Class\" to return the least-supported class groups in ascending support order."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bd10325486b0edde/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..605da46798eb439326859697a544bbd5c375fbbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/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=Area. +Result preview: [{"empirical_cdf_at_threshold": 0.7499816325031224}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..85ad61bfab7f6fe29d3cf2e30e8b071613209a95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_befc21030b543c69 +-- problem_id: v2p_n10_7f5c309796db07d2 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("Area" AS REAL) <= 61332.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n10"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01e44ff95233f370170d11086a9d59cbbd53152e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Area\" AS REAL) <= 61332.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n10\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Area\\\" AS REAL) <= 61332.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499816325031224}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e19e14230204c674ed18e4452f07ba24d117d2e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:59:58.966959+00:00", + "ended_at": "2026-05-19T16:00:08.033101+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_befc21030b543c69", + "problem_id": "v2p_n10_7f5c309796db07d2", + "dataset_id": "n10", + "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=Area.", + "bindings": { + "measure_col": "Area", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=112" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_befc21030b543c69.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_befc21030b543c69", + "api_calls": 0, + "input_tokens": 15377, + "cached_input_tokens": 14720, + "output_tokens": 315, + "total_tokens": 15692, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9055.2, + "sql_execution_elapsed_ms_total": 3.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..417c2dad8912346713f6c1da1a5c6cada7054e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:08.027594+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": 9055.2, "started_at": "2026-05-19T15:59:58.971493+00:00", "ended_at": "2026-05-19T16:00:08.026729+00:00", "prompt_metrics": {"chars": 10831, "bytes_utf8": 10831, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15377, "cached_input_tokens": 14720, "output_tokens": 315, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Area\\\" AS REAL) <= 61332.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col=\\\"Area\\\" and measure_threshold=61332.0. Cast \\\"Area\\\" from TEXT to REAL so the threshold comparison is numeric in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2ebc986834126b7f4b6986b81e78d1a2fa1b7d68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_befc21030b543c69", + "api_calls": 0, + "input_tokens": 15377, + "cached_input_tokens": 14720, + "output_tokens": 315, + "total_tokens": 15692, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9055.2, + "sql_execution_elapsed_ms_total": 3.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa94697d90d75c3057f3319cd57a2c73ad413544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11158, "bytes_utf8": 11158, "lines": 303, "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": 476, "bytes_utf8": 476, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15453, "cached_input_tokens": 14720, "output_tokens": 288, "reasoning_output_tokens": 159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c2907d1be4183fc2c54664d807341f5b6cb1d071 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_bf4adb333a082b92", + "api_calls": 0, + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 288, + "total_tokens": 15741, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9917.29, + "sql_execution_elapsed_ms_total": 6.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..40094d7e635f4595ea24983bb02a388c4c24ef5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:29.314031+00:00", + "ended_at": "2026-05-19T15:58:39.231347+00:00", + "elapsed_ms": 9917.29, + "prompt_metrics": { + "chars": 11158, + "bytes_utf8": 11158, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 831, + "bytes_utf8": 831, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 476, + "bytes_utf8": 476, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 288, + "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_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83a8d2358d918fb3335b88c77760dafb04c65b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.707109, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..664277689d05680b4f1065f83a573b4e5c9b4a4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c6df-7600-85b5-3716b1602ce2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the required Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because the grouping column and condition column are the same, the result will be 1.0 for the DERMASON group and 0.0 for all other classes.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15453,"cached_input_tokens":14720,"output_tokens":288,"reasoning_output_tokens":159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb48e31f437100485d6abc99686edc96a711d19e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n AVG(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;","notes":"Applied the required Grouped Condition Rate template with group_col=\"Class\" and condition_col=\"Class\". Because the grouping column and condition column are the same, the result will be 1.0 for the DERMASON group and 0.0 for all other classes."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf4adb333a082b92/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92c610a512a120d0391e07b38cdf3119eeaacdd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11457, "bytes_utf8": 11457, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 407, "reasoning_output_tokens": 244}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8148075dc149eeb6afbcacf117cf638f9a5c81cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_bffb3c5e96642b61", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 407, + "total_tokens": 15933, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11994.38, + "sql_execution_elapsed_ms_total": 16.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5947f76f70d380530969b3b3167c1b3e37f30875 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/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": "2026-05-19T15:46:54.910111+00:00", + "ended_at": "2026-05-19T15:47:06.904537+00:00", + "elapsed_ms": 11994.38, + "prompt_metrics": { + "chars": 11457, + "bytes_utf8": 11457, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 995, + "bytes_utf8": 995, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 624, + "bytes_utf8": 624, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 407, + "reasoning_output_tokens": 244 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fcad894e4d9ab739b72cab25715f9fd981179a6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=Compactness.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.83427, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a60f612327b1bfe168c2522338820edcebbbf22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-2e76-7782-a30a-f663e762977e"} +{"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 \\\"Class\\\", SUM(CAST(\\\"Compactness\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"Compactness\\\". Cast \\\"Compactness\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":407,"reasoning_output_tokens":244}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e54ba3eb33554ebb856ddfb56c132c05a49e7175 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"Compactness\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the planned Relative-to-Total Extreme Threshold template with group_col=\"Class\" and measure_col=\"Compactness\". Cast \"Compactness\" from TEXT to REAL for SQLite numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bffb3c5e96642b61/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f36b37b056d271e637bf87690a8963039c0f94fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/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=Class, measure_col=ConvexArea. +Result preview: [{"Class": "CALI", "total_measure": 125002260.0}, {"Class": "SIRA", "total_measure": 119339891.0}, {"Class": "DERMASON", "total_measure": 115239451.0}, {"Class": "HOROZ", "total_measure": 104960497.0}, {"Class": "BARBUNYA", "total_measure": 93896014.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2a5ff469adbe42fe42f59b632b304ad4b363f9d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_c1519b87400c1abf +-- problem_id: v2p_n10_9a7b3dc2367e252d +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("ConvexArea" AS REAL)) AS total_measure +FROM "n10" +GROUP BY "Class" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bca924ebf932d2c68501eb83506ae0dcb3256229 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/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 \"Class\", SUM(CAST(\"ConvexArea\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"ConvexArea\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"CALI\", \"total_measure\": 125002260.0}, {\"Class\": \"SIRA\", \"total_measure\": 119339891.0}, {\"Class\": \"DERMASON\", \"total_measure\": 115239451.0}, {\"Class\": \"HOROZ\", \"total_measure\": 104960497.0}, {\"Class\": \"BARBUNYA\", \"total_measure\": 93896014.0}, {\"Class\": \"BOMBAY\", \"total_measure\": 91774447.0}, {\"Class\": \"SEKER\", \"total_measure\": 81626413.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3be7a65574dda9d56f9fefc791ee90ef902b4d59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:30:47.319931+00:00", + "ended_at": "2026-05-19T15:31:00.093073+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_c1519b87400c1abf", + "problem_id": "v2p_n10_9a7b3dc2367e252d", + "dataset_id": "n10", + "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=Class, measure_col=ConvexArea.", + "bindings": { + "group_col": "Class", + "measure_col": "ConvexArea", + "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": 53411.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_c1519b87400c1abf.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_c1519b87400c1abf", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 230, + "total_tokens": 15620, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12757.2, + "sql_execution_elapsed_ms_total": 8.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f669436a4ce7dab68bb84bb6fcd76c3241f7018 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:00.082709+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": 12757.2, "started_at": "2026-05-19T15:30:47.324416+00:00", "ended_at": "2026-05-19T15:31:00.081656+00:00", "prompt_metrics": {"chars": 10901, "bytes_utf8": 10901, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 230, "reasoning_output_tokens": 130}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"ConvexArea\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"ConvexArea\\\". CAST to REAL is needed because the schema stores \\\"ConvexArea\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eb19de77d11c5392ea6678b842c9739a4975c90c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_c1519b87400c1abf", + "api_calls": 0, + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 230, + "total_tokens": 15620, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12757.2, + "sql_execution_elapsed_ms_total": 8.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..32e913a0e34bc25c91e61baf79d43cced688bc4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11459, "bytes_utf8": 11459, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 612, "bytes_utf8": 612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 461, "reasoning_output_tokens": 299}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cd1d00afda71c46ff36ff8c6405a876e9b7afcc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_c356cfa58eceab15", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 461, + "total_tokens": 15987, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24465.29, + "sql_execution_elapsed_ms_total": 22.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d096b709620622fd048894e60e843627f583d68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:11.755552+00:00", + "ended_at": "2026-05-19T15:48:36.220875+00:00", + "elapsed_ms": 24465.29, + "prompt_metrics": { + "chars": 11459, + "bytes_utf8": 11459, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2311, + "bytes_utf8": 2311, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 612, + "bytes_utf8": 612, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 461, + "reasoning_output_tokens": 299 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d2d8a84d41e39bc9924085bafcb568654b8f6d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=ShapeFactor3.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor3", + "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": 0.696006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7dfc1082f4362357a88ac9d0d8a9cf12f8e37531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40ec-5a6c-7d42-a4eb-8174896efb1e"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16161. Please try again in 484ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16161. Please try again in 484ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987473, Requested 16161. Please try again in 109ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990564, Requested 16161. Please try again in 201ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"ShapeFactor3\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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=\\\"Class\\\" and measure_col=\\\"ShapeFactor3\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":461,"reasoning_output_tokens":299}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..288861182472ba9c22f273a75adf73ebd45b1523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"ShapeFactor3\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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=\"Class\" and measure_col=\"ShapeFactor3\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c356cfa58eceab15/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0656243a12d7da8ff7151bc34cd929f87e49c7eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/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=Class, measure_col=Area. +Result preview: [{"Class": "CALI", "group_value": 123127284.0}, {"Class": "SIRA", "group_value": 117905983.0}, {"Class": "DERMASON", "group_value": 113892949.0}, {"Class": "HOROZ", "group_value": 103434325.0}, {"Class": "BARBUNYA", "group_value": 92281064.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9992bd89b5dc3e10b3cb7bf1b72d320dc1bdf883 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_cc7378bc5601eeed +-- problem_id: v2p_n10_5b7b42af6053bf7d +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Class", + SUM(CAST("Area" AS REAL)) AS "group_value" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "Area" IS NOT NULL + AND TRIM("Area") <> '' + GROUP BY "Class" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."Class", + 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_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0871582a98303c70e19added5c32c835698439a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"Class\",\n SUM(CAST(\"Area\" AS REAL)) AS \"group_value\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Area\" IS NOT NULL\n AND TRIM(\"Area\") <> ''\n GROUP BY \"Class\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"Class\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n SUM(CAST(\\\"Area\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Area\\\" IS NOT NULL\\n AND TRIM(\\\"Area\\\") <> ''\\n GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Class\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"CALI\", \"group_value\": 123127284.0}, {\"Class\": \"SIRA\", \"group_value\": 117905983.0}, {\"Class\": \"DERMASON\", \"group_value\": 113892949.0}, {\"Class\": \"HOROZ\", \"group_value\": 103434325.0}, {\"Class\": \"BARBUNYA\", \"group_value\": 92281064.0}, {\"Class\": \"BOMBAY\", \"group_value\": 90559201.0}, {\"Class\": \"SEKER\", \"group_value\": 80839395.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1eeb1aab7db420b1eda15b6423c0d15ebcab4a34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:49:22.896196+00:00", + "ended_at": "2026-05-19T15:49:38.303475+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_cc7378bc5601eeed", + "problem_id": "v2p_n10_5b7b42af6053bf7d", + "dataset_id": "n10", + "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=Class, measure_col=Area.", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "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": 52697.4, + "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": "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_d/n10/sql/v2q_n10_cc7378bc5601eeed.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_cc7378bc5601eeed", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 722, + "total_tokens": 16246, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15383.14, + "sql_execution_elapsed_ms_total": 15.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecf09b848236172992b597d967069f569c292215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:38.285356+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": 15383.14, "started_at": "2026-05-19T15:49:22.900718+00:00", "ended_at": "2026-05-19T15:49:38.283888+00:00", "prompt_metrics": {"chars": 11445, "bytes_utf8": 11445, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 777, "bytes_utf8": 777, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 14720, "output_tokens": 722, "reasoning_output_tokens": 491}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n SUM(CAST(\\\"Area\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Area\\\" IS NOT NULL\\n AND TRIM(\\\"Area\\\") <> ''\\n GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Class\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"Area\\\". CAST(\\\"Area\\\" AS REAL) is applied because the SQLite schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..558658c99ab70523c9241e1ab5e473bbb315933f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_cc7378bc5601eeed", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 722, + "total_tokens": 16246, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15383.14, + "sql_execution_elapsed_ms_total": 15.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6da6c9647a5e726a69fc2f90506ddb4387e8a578 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10806, "bytes_utf8": 10806, "lines": 298, "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": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 12032, "output_tokens": 532, "reasoning_output_tokens": 457}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b29fa3538e7582d1cd9d70abf21c6307d2f40d01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_cdf63f60931deddc", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 532, + "total_tokens": 15893, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13304.84, + "sql_execution_elapsed_ms_total": 10.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..434a3371d76dcce998f2c6f0db4bcbe454791b29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/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": "2026-05-19T15:32:22.639459+00:00", + "ended_at": "2026-05-19T15:32:35.944331+00:00", + "elapsed_ms": 13304.84, + "prompt_metrics": { + "chars": 10806, + "bytes_utf8": 10806, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 636, + "bytes_utf8": 636, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 282, + "bytes_utf8": 282, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 532, + "reasoning_output_tokens": 457 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..198ed3761825b0a61c9f0d05a57247f845910cce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Class", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2fc7a363f25db2f2b6c5f7bf0e8c97f0dada7ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-dee6-7953-b015-fd30cf5520ad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"Class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped count template with \\\"Class\\\" as the category column to measure subgroup count distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15361,"cached_input_tokens":12032,"output_tokens":532,"reasoning_output_tokens":457}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d55063e9c006898a6da1909cac5b34016d0220a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count.\nSELECT \"Class\", COUNT(*) AS \"row_count\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"row_count\" DESC;","notes":"Uses the grouped count template with \"Class\" as the category column to measure subgroup count distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdf63f60931deddc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8ced457dc160f0fa76e4e06c5de32d127d4021c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11447, "bytes_utf8": 11447, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 577, "bytes_utf8": 577, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15522, "cached_input_tokens": 12032, "output_tokens": 444, "reasoning_output_tokens": 288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3b15d6cbcb815a175c5909e1724a550a3115ad9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ce54082f17939842", + "api_calls": 0, + "input_tokens": 15522, + "cached_input_tokens": 12032, + "output_tokens": 444, + "total_tokens": 15966, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13138.12, + "sql_execution_elapsed_ms_total": 22.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a8b23b0eaf87f0b8dbf84865fffd67152994c93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/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": "2026-05-19T15:45:40.806063+00:00", + "ended_at": "2026-05-19T15:45:53.944218+00:00", + "elapsed_ms": 13138.12, + "prompt_metrics": { + "chars": 11447, + "bytes_utf8": 11447, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 948, + "bytes_utf8": 948, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 577, + "bytes_utf8": 577, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15522, + "cached_input_tokens": 12032, + "output_tokens": 444, + "reasoning_output_tokens": 288 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8c62e610c18bb97dfa670109312157e0080fea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=Extent.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6862e178b7d9cb75f048e24eeaf6cc24dee886b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-0cdb-7c33-8979-c7ce78267e2c"} +{"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 \\\"Class\\\", SUM(CAST(\\\"Extent\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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=\\\"Class\\\" and measure_col=\\\"Extent\\\". Cast \\\"Extent\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15522,"cached_input_tokens":12032,"output_tokens":444,"reasoning_output_tokens":288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c0a40574c41a93b2c2a415762baee2be151b53f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"Extent\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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=\"Class\" and measure_col=\"Extent\". Cast \"Extent\" 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_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ce54082f17939842/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d4e812f1505de93687350f0ef5ba4842d1c7bd04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11313, "bytes_utf8": 11313, "lines": 302, "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": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15509, "cached_input_tokens": 12032, "output_tokens": 693, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6619a5b2d8ceb36a40ec0baa7a7d13ac46ddbfe8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_cede9d7153033628", + "api_calls": 0, + "input_tokens": 15509, + "cached_input_tokens": 12032, + "output_tokens": 693, + "total_tokens": 16202, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16855.56, + "sql_execution_elapsed_ms_total": 73.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..48da1697ce78dd7bcf3c5bf2da3c2a25e434a8c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:53.565271+00:00", + "ended_at": "2026-05-19T15:36:10.420868+00:00", + "elapsed_ms": 16855.56, + "prompt_metrics": { + "chars": 11313, + "bytes_utf8": 11313, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1015, + "bytes_utf8": 1015, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15509, + "cached_input_tokens": 12032, + "output_tokens": 693, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccba82386217a045265c6d83627d63d10655f942 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, measure_col=ShapeFactor2.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor2", + "item_col": "ShapeFactor3", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1c31bb70d7360d8d8e07ca10f8be0d316550172 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-16e8-7442-aa20-d23b6a59d4cb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor3\\\",\\n SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ShapeFactor2\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor3\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor3\\\", and measure_col=\\\"ShapeFactor2\\\". Cast \\\"ShapeFactor2\\\" to REAL because the schema stores it as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15509,"cached_input_tokens":12032,"output_tokens":693,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b80350ed75e3b72a2c25dabb04c1cf5a51362fd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor3\",\n SUM(CAST(\"ShapeFactor2\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ShapeFactor2\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor3\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor3\", and measure_col=\"ShapeFactor2\". Cast \"ShapeFactor2\" to REAL because the schema stores it as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cede9d7153033628/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..41abd1cd96281c4da074d089a86b7f9c17b31fc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:46.134810+00:00", + "ended_at": "2026-05-19T15:58:49.203202+00:00", + "elapsed_ms": 3068.36, + "returncode": 1, + "prompt_metrics": { + "chars": 11144, + "bytes_utf8": 11144, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..978170cf501dec0ecb5ebd5017aac8d4272587ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:50.205323+00:00", + "ended_at": "2026-05-19T15:58:53.273942+00:00", + "elapsed_ms": 3068.58, + "returncode": 1, + "prompt_metrics": { + "chars": 11144, + "bytes_utf8": 11144, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6302813875340974325ed8dbdba79bc6e470936 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6302813875340974325ed8dbdba79bc6e470936 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..551577a8ce4bd7c4690b71923e1f2752ec6b355b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-087f-7502-9d4e-465db066114d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca861b06d39cb45531a88f8ce7a061c5cff2453b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-087f-7502-9d4e-465db066114d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f8ff7a90ef9359477ebe2c3609eaa78b1961d2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-185d-77d3-8fa3-b45877c88a22"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bc34799d4701969681db84267e94fc0954d9afe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-185d-77d3-8fa3-b45877c88a22"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cf5f0750864e1122/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c21f35931a8a266f5e9b0db6fb1d2470739549a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class. +Result preview: [{"Class": "BOMBAY", "support": 522}, {"Class": "BARBUNYA", "support": 1322}, {"Class": "CALI", "support": 1630}, {"Class": "HOROZ", "support": 1928}, {"Class": "SEKER", "support": 2027}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..39faa066ff4f24ab75505628158da6a0f9532dd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n10_d428f60641c50489 +-- problem_id: v2p_n10_f1b1888bb02e6263 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Class", + COUNT(*) AS "support" +FROM "n10" +GROUP BY "Class" +ORDER BY "support" ASC, "Class" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a03f971a01e288a3a38e17e4f2f6fbe28f72eb99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/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 \"Class\",\n COUNT(*) AS \"support\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"support\" ASC, \"Class\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 10;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"BOMBAY\", \"support\": 522}, {\"Class\": \"BARBUNYA\", \"support\": 1322}, {\"Class\": \"CALI\", \"support\": 1630}, {\"Class\": \"HOROZ\", \"support\": 1928}, {\"Class\": \"SEKER\", \"support\": 2027}, {\"Class\": \"SIRA\", \"support\": 2636}, {\"Class\": \"DERMASON\", \"support\": 3546}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..da45809a5e67f4fa64a5550b31076aac2adcb0c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:00:40.869177+00:00", + "ended_at": "2026-05-19T16:00:50.024869+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_d428f60641c50489", + "problem_id": "v2p_n10_f1b1888bb02e6263", + "dataset_id": "n10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.", + "bindings": { + "group_col": "Class", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_d428f60641c50489.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d428f60641c50489", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 14720, + "output_tokens": 270, + "total_tokens": 15669, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9137.87, + "sql_execution_elapsed_ms_total": 10.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f7142f710aca285beb407ecb1f95c9a94ce0114 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:50.010129+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": 9137.87, "started_at": "2026-05-19T16:00:40.871288+00:00", "ended_at": "2026-05-19T16:00:50.009184+00:00", "prompt_metrics": {"chars": 10886, "bytes_utf8": 10886, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 14720, "output_tokens": 270, "reasoning_output_tokens": 174}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 10;\",\"notes\":\"Applies the planned Low-Support Group Count template with group_col bound to Class, returning the 10 least-supported classes by row count.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..940c3ba418f0281da4b9be0215ba352545288b71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d428f60641c50489", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 14720, + "output_tokens": 270, + "total_tokens": 15669, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9137.87, + "sql_execution_elapsed_ms_total": 10.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4940da8b9f2c02947144e6a4c2b0aa77bd422a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10847, "bytes_utf8": 10847, "lines": 298, "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": 15381, "cached_input_tokens": 14720, "output_tokens": 258, "reasoning_output_tokens": 146}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..440a161dc0cb5c81e00741c9ef9c808a13cc8dab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d54022aac34b4441", + "api_calls": 0, + "input_tokens": 15381, + "cached_input_tokens": 14720, + "output_tokens": 258, + "total_tokens": 15639, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8610.29, + "sql_execution_elapsed_ms_total": 18.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..362dd6675a713b85aee297782c0c3c0036089bab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:50.332283+00:00", + "ended_at": "2026-05-19T15:59:58.942622+00:00", + "elapsed_ms": 8610.29, + "prompt_metrics": { + "chars": 10847, + "bytes_utf8": 10847, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 739, + "bytes_utf8": 739, + "lines": 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": 15381, + "cached_input_tokens": 14720, + "output_tokens": 258, + "reasoning_output_tokens": 146 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d117d9ea03d1f218a83104b00c60355c7259bd0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ShapeFactor4.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ShapeFactor4", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.997883, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..645e1820680cfc07d6dfe4cb289a5efe378d4044 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-0348-73b1-9fa4-bed5fc260617"} +{"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(\\\"ShapeFactor4\\\" AS REAL) <= 0.997883 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"ShapeFactor4\\\" and threshold fixed at 0.997883. CAST to REAL is used because the schema stores this numeric-looking column as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15381,"cached_input_tokens":14720,"output_tokens":258,"reasoning_output_tokens":146}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8849ef82e380bb17c9282432e4ab3a46e8f7dbe6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"ShapeFactor4\" AS REAL) <= 0.997883 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n10\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"ShapeFactor4\" and threshold fixed at 0.997883. CAST to REAL is used because the schema stores this numeric-looking column as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d54022aac34b4441/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..038e6e3c9ef33d8fa8d9ddca8cca7dfe0f2ae7d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:04:13.847604+00:00", + "ended_at": "2026-05-19T16:04:21.008306+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_d6084ed8ea94db0e", + "problem_id": "v2p_n10_73159295365a4894", + "dataset_id": "n10", + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "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 Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=Extent.", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "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": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=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_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3fc7fa0990ff62e21f0eb92e029ab1ca2c98468 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:16.824468+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": 2973.48, "started_at": "2026-05-19T16:04:13.850264+00:00", "ended_at": "2026-05-19T16:04:16.823762+00:00", "prompt_metrics": {"chars": 11060, "bytes_utf8": 11060, "lines": 300, "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\":\"019e40fb-088d-7a40-9e0f-8b36dfec37be\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:21.008220+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": 3181.42, "started_at": "2026-05-19T16:04:17.825524+00:00", "ended_at": "2026-05-19T16:04:21.006977+00:00", "prompt_metrics": {"chars": 11060, "bytes_utf8": 11060, "lines": 300, "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\":\"019e40fb-181b-7fa2-86ce-b62ccc301ec2\"}\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_d/n10/artifacts/v2q_n10_d62570d8df9fa675/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..323b9d870967e28583964aeeb6e864c582954bc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=roundness. +Result preview: [{"Class": "DERMASON", "total_measure": 3220.171715581486}, {"Class": "SIRA", "total_measure": 2331.942663440431}, {"Class": "SEKER", "total_measure": 1914.5169581056698}, {"Class": "HOROZ", "total_measure": 1531.641877378845}, {"Class": "CALI", "total_measure": 1378.8731135433377}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..36d404eb9d229617a2420b23f43eb651b285ce51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_thresholded_group_ranking +-- query_record_id: v2q_n10_d62570d8df9fa675 +-- problem_id: v2p_n10_9d1174612bd66586 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("roundness" AS REAL)) AS "total_measure" +FROM "n10" +GROUP BY "Class" +HAVING SUM(CAST("roundness" AS REAL)) > 0.905212 +ORDER BY "total_measure" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33769c199049a7c513eb240a671b5a9b3e705187 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/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_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"roundness\" AS REAL)) AS \"total_measure\"\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"roundness\" AS REAL)) > 0.905212\nORDER BY \"total_measure\" DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"roundness\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"roundness\\\" AS REAL)) > 0.905212\\nORDER BY \\\"total_measure\\\" DESC\\nLIMIT 18;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 3220.171715581486}, {\"Class\": \"SIRA\", \"total_measure\": 2331.942663440431}, {\"Class\": \"SEKER\", \"total_measure\": 1914.5169581056698}, {\"Class\": \"HOROZ\", \"total_measure\": 1531.641877378845}, {\"Class\": \"CALI\", \"total_measure\": 1378.8731135433377}, {\"Class\": \"BARBUNYA\", \"total_measure\": 1057.8649841196482}, {\"Class\": \"BOMBAY\", \"total_measure\": 451.2276937967161}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f0b82ddc2c611489ef82a48497e8ca50f6cbdbff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:05:10.642560+00:00", + "ended_at": "2026-05-19T16:05:20.839328+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_d62570d8df9fa675", + "problem_id": "v2p_n10_9d1174612bd66586", + "dataset_id": "n10", + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "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 Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Class, measure_col=roundness.", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.905212, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_d62570d8df9fa675.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d62570d8df9fa675", + "api_calls": 0, + "input_tokens": 15433, + "cached_input_tokens": 12032, + "output_tokens": 437, + "total_tokens": 15870, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10182.12, + "sql_execution_elapsed_ms_total": 10.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..477c0c718962a38dfab3e0a9f9e6d3854609aa13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:20.827652+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": 10182.12, "started_at": "2026-05-19T16:05:10.644655+00:00", "ended_at": "2026-05-19T16:05:20.826803+00:00", "prompt_metrics": {"chars": 11070, "bytes_utf8": 11070, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 433, "bytes_utf8": 433, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15433, "cached_input_tokens": 12032, "output_tokens": 437, "reasoning_output_tokens": 314}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"roundness\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"roundness\\\" AS REAL)) > 0.905212\\nORDER BY \\\"total_measure\\\" DESC\\nLIMIT 18;\",\"notes\":\"Applied the provided template with group_col=\\\"Class\\\" and measure_col=\\\"roundness\\\". Cast \\\"roundness\\\" from TEXT to REAL so SQLite aggregates it numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7ffd10996a927c65d84003792467b31869166881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d62570d8df9fa675", + "api_calls": 0, + "input_tokens": 15433, + "cached_input_tokens": 12032, + "output_tokens": 437, + "total_tokens": 15870, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10182.12, + "sql_execution_elapsed_ms_total": 10.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..debb6a61a7aa583d82df44ae68c9d46ab6b48a8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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=Class. +Result preview: [{"Class": "DERMASON", "row_count": 3546}, {"Class": "SIRA", "row_count": 2636}, {"Class": "SEKER", "row_count": 2027}, {"Class": "HOROZ", "row_count": 1928}, {"Class": "CALI", "row_count": 1630}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..666477836971938b6c87e17445400f167605ae64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_d63185f31f95cf85 +-- problem_id: v2p_n10_0f088e1b75574ebe +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", COUNT(*) AS row_count +FROM "n10" +GROUP BY "Class" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..088db5cfb1f8142aab31f4bef08076b038e534d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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 \"Class\", COUNT(*) AS row_count\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS row_count\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Class\", \"row_count\"], \"rows\": [{\"Class\": \"DERMASON\", \"row_count\": 3546}, {\"Class\": \"SIRA\", \"row_count\": 2636}, {\"Class\": \"SEKER\", \"row_count\": 2027}, {\"Class\": \"HOROZ\", \"row_count\": 1928}, {\"Class\": \"CALI\", \"row_count\": 1630}, {\"Class\": \"BARBUNYA\", \"row_count\": 1322}, {\"Class\": \"BOMBAY\", \"row_count\": 522}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2e434c8f8d5411ab0d7c75c2e9c2c0babf1d130e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:31:59.562245+00:00", + "ended_at": "2026-05-19T15:32:22.635513+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_d63185f31f95cf85", + "problem_id": "v2p_n10_0f088e1b75574ebe", + "dataset_id": "n10", + "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=Class.", + "bindings": { + "group_col": "Class", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.997883, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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_d/n10/sql/v2q_n10_d63185f31f95cf85.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d63185f31f95cf85", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 215, + "total_tokens": 15576, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23059.58, + "sql_execution_elapsed_ms_total": 6.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf0972c064bd155cf835247af98f79adb4f95066 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:22.626893+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": 23059.58, "started_at": "2026-05-19T15:31:59.566230+00:00", "ended_at": "2026-05-19T15:32:22.625845+00:00", "prompt_metrics": {"chars": 10806, "bytes_utf8": 10806, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 270, "bytes_utf8": 270, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 12032, "output_tokens": 215, "reasoning_output_tokens": 139}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Class\\\", COUNT(*) AS row_count\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the Grouped Count by Category template with group_col bound to \\\"Class\\\" on the single table \\\"n10\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0ad9ecbc66a7390125f84f49dfc64e0bf9ddbacf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d63185f31f95cf85", + "api_calls": 0, + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 215, + "total_tokens": 15576, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23059.58, + "sql_execution_elapsed_ms_total": 6.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aef2d8876cc9ba4fafb543a0deffa48bf869a135 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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=Class, measure_col=roundness. +Result preview: [{"Class": "SEKER", "percentile_measure": 0.9748103412811874}, {"Class": "DERMASON", "percentile_measure": 0.9416271736068199}, {"Class": "SIRA", "percentile_measure": 0.917718294835249}, {"Class": "BOMBAY", "percentile_measure": 0.9066160091833546}, {"Class": "CALI", "percentile_measure": 0.8818275137704711}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bbdfd8f3df8de67c316edce064b1c732aa571528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/generated_sql.sql @@ -0,0 +1,38 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_d77b742b67cb6fd0 +-- problem_id: v2p_n10_7c19b960261cb695 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Class", + CAST("roundness" AS REAL) AS "percentile_measure", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY CAST("roundness" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Class" + ) AS "cnt" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "roundness" IS NOT NULL +) +SELECT + "Class", + "percentile_measure" +FROM "ranked" +WHERE "rn" = CAST((0.95 * "cnt") AS INTEGER) + + CASE + WHEN (0.95 * "cnt") > CAST((0.95 * "cnt") AS INTEGER) THEN 1 + ELSE 0 + END +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d1f1a19d53881303d8012bd28200d8781972d02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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 \"Class\",\n CAST(\"roundness\" AS REAL) AS \"percentile_measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"roundness\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"roundness\" IS NOT NULL\n)\nSELECT\n \"Class\",\n \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST((0.95 * \"cnt\") AS INTEGER)\n + CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"roundness\\\" AS REAL) AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"roundness\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"roundness\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\n + CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"SEKER\", \"percentile_measure\": 0.9748103412811874}, {\"Class\": \"DERMASON\", \"percentile_measure\": 0.9416271736068199}, {\"Class\": \"SIRA\", \"percentile_measure\": 0.917718294835249}, {\"Class\": \"BOMBAY\", \"percentile_measure\": 0.9066160091833546}, {\"Class\": \"CALI\", \"percentile_measure\": 0.8818275137704711}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 0.8714548245651595}, {\"Class\": \"HOROZ\", \"percentile_measure\": 0.8367852969498474}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 70.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ddfc940f4a28c84749c7586a8bcae212aee39009 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:54:37.022540+00:00", + "ended_at": "2026-05-19T15:55:05.140259+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_d77b742b67cb6fd0", + "problem_id": "v2p_n10_7c19b960261cb695", + "dataset_id": "n10", + "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=Class, measure_col=roundness.", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.916869, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_d/n10/sql/v2q_n10_d77b742b67cb6fd0.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d77b742b67cb6fd0", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 792, + "total_tokens": 16218, + "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": 27039.42, + "sql_execution_elapsed_ms_total": 70.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3cccc06a9a9cc4abbc864fbbca320944a39f66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:40.237485+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": 3211.67, "started_at": "2026-05-19T15:54:37.024950+00:00", "ended_at": "2026-05-19T15:54:40.236640+00:00", "prompt_metrics": {"chars": 11078, "bytes_utf8": 11078, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-3b7a-7343-9fb8-9e8ac4e10e7c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:05.067865+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": 23827.75, "started_at": "2026-05-19T15:54:41.238865+00:00", "ended_at": "2026-05-19T15:55:05.066666+00:00", "prompt_metrics": {"chars": 11078, "bytes_utf8": 11078, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 967, "bytes_utf8": 967, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 792, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"roundness\\\" AS REAL) AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"roundness\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"roundness\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\n + CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a grouped nearest-rank 95th percentile point by ordering CAST(\\\"roundness\\\" AS REAL) within each \\\"Class\\\" group and selecting row number ceil(0.95 * group_size).\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0de9d016fb2f999620d110b88434b5448264b2ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d77b742b67cb6fd0", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 792, + "total_tokens": 16218, + "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": 27039.42, + "sql_execution_elapsed_ms_total": 70.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..43f4720eda1f2aae6a0294b5ef845cb75ed6612c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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=Class, measure_col=Perimeter. +Result preview: [{"Class": "DERMASON", "total_measure": 2358833.014}, {"Class": "SIRA", "total_measure": 2099359.792}, {"Class": "HOROZ", "total_measure": 1773489.4549999998}, {"Class": "CALI", "total_measure": 1723943.879}, {"Class": "SEKER", "total_measure": 1474992.0359999998}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..be83b19004f8953a0af28794e1061b99f2d2e411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_d787496c4d64aa7b +-- problem_id: v2p_n10_8fc4d1762002d1ae +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", SUM(CAST("Perimeter" AS REAL)) AS total_measure +FROM "n10" +GROUP BY "Class" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..551f09c6cfd200fd048319ba8dfa3fd094e7a2ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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 \"Class\", SUM(CAST(\"Perimeter\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Perimeter\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Class\", \"total_measure\"], \"rows\": [{\"Class\": \"DERMASON\", \"total_measure\": 2358833.014}, {\"Class\": \"SIRA\", \"total_measure\": 2099359.792}, {\"Class\": \"HOROZ\", \"total_measure\": 1773489.4549999998}, {\"Class\": \"CALI\", \"total_measure\": 1723943.879}, {\"Class\": \"SEKER\", \"total_measure\": 1474992.0359999998}, {\"Class\": \"BARBUNYA\", \"total_measure\": 1382951.82}, {\"Class\": \"BOMBAY\", \"total_measure\": 827693.159}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c3ea36500b200974f1bd43e31f9de8f2d28ccd2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:28:44.181887+00:00", + "ended_at": "2026-05-19T15:28:52.816516+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_d787496c4d64aa7b", + "problem_id": "v2p_n10_8fc4d1762002d1ae", + "dataset_id": "n10", + "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=Class, measure_col=Perimeter.", + "bindings": { + "group_col": "Class", + "measure_col": "Perimeter", + "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": 902.7514, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_d787496c4d64aa7b.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d787496c4d64aa7b", + "api_calls": 0, + "input_tokens": 15388, + "cached_input_tokens": 12032, + "output_tokens": 266, + "total_tokens": 15654, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8621.54, + "sql_execution_elapsed_ms_total": 8.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..991565a1378bb3061833fd985a62dff90cf5bd6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:52.806529+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": 8621.54, "started_at": "2026-05-19T15:28:44.184144+00:00", "ended_at": "2026-05-19T15:28:52.805713+00:00", "prompt_metrics": {"chars": 10901, "bytes_utf8": 10901, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15388, "cached_input_tokens": 12032, "output_tokens": 266, "reasoning_output_tokens": 172}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Perimeter\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"Perimeter\\\". CAST to REAL because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dc8d9b83851617b792d235c1345b0a312ec79f62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d787496c4d64aa7b", + "api_calls": 0, + "input_tokens": 15388, + "cached_input_tokens": 12032, + "output_tokens": 266, + "total_tokens": 15654, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8621.54, + "sql_execution_elapsed_ms_total": 8.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28dddc4ece9a63367a256996e8dac36b81f93bfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11074, "bytes_utf8": 11074, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 11074, "bytes_utf8": 11074, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15436, "cached_input_tokens": 12032, "output_tokens": 307, "reasoning_output_tokens": 180}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b11ce74bdc4d85f607c2c58dd9832df87bec9d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d9da98e8b5c6c955", + "api_calls": 0, + "input_tokens": 15436, + "cached_input_tokens": 12032, + "output_tokens": 307, + "total_tokens": 15743, + "cost_usd": 0.0, + "ai_cli_calls": 2, + 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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_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af8b57d280a1f5a49cd448007f3076d5f78581b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/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": "2026-05-19T16:03:35.220276+00:00", + "ended_at": "2026-05-19T16:03:44.869142+00:00", + "elapsed_ms": 9648.81, + "prompt_metrics": { + "chars": 11074, + "bytes_utf8": 11074, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 796, + "bytes_utf8": 796, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 432, + "bytes_utf8": 432, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15436, + "cached_input_tokens": 12032, + "output_tokens": 307, + "reasoning_output_tokens": 180 + } + }, + "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_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcc39ddf30027dbfe666991f816dd5e97645c853 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=Eccentricity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.791788, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcc39ddf30027dbfe666991f816dd5e97645c853 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Class, measure_col=Eccentricity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.791788, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1e01872c8114ea9d7072e5ad6ee91b27a74d05b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-6152-7ca3-91e9-462bd3b59c0f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..20989aab3aa3c3facc3147f1af00a2afe0a6823e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-6152-7ca3-91e9-462bd3b59c0f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0ee6663f2073044747d0b1a3310e6da9d04c2e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-71df-7163-a965-799cb807875d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Eccentricity\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Eccentricity\\\" AS REAL)) > 0.791788\\nORDER BY total_measure DESC\\nLIMIT 18;\",\"notes\":\"Used the provided template with group_col=\\\"Class\\\" and measure_col=\\\"Eccentricity\\\". Cast \\\"Eccentricity\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15436,"cached_input_tokens":12032,"output_tokens":307,"reasoning_output_tokens":180}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..17182210a1f854750d6de64dde61df75e64371cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"Eccentricity\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Eccentricity\" AS REAL)) > 0.791788\nORDER BY total_measure DESC\nLIMIT 18;","notes":"Used the provided template with group_col=\"Class\" and measure_col=\"Eccentricity\". Cast \"Eccentricity\" 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_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d9da98e8b5c6c955/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a2500c6e268b94a182d0412339cdc6493a28759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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=Class, condition_col=Class. +Result preview: [{"Class": "SIRA", "condition_rate": 1.0}, {"Class": "SEKER", "condition_rate": 0.0}, {"Class": "HOROZ", "condition_rate": 0.0}, {"Class": "DERMASON", "condition_rate": 0.0}, {"Class": "CALI", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8da83dc2cc4afa8735cd6fb02bc257e4805e9972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_dafbc827945129aa +-- problem_id: v2p_n10_0d10fd18e560f754 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", + AVG(CASE WHEN "Class" = 'SIRA' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n10" +GROUP BY "Class" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c58ad3900a80708c2f244336fc6f23a36eeb371f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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 \"Class\",\n AVG(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Class\", \"condition_rate\"], \"rows\": [{\"Class\": \"SIRA\", \"condition_rate\": 1.0}, {\"Class\": \"SEKER\", \"condition_rate\": 0.0}, {\"Class\": \"HOROZ\", \"condition_rate\": 0.0}, {\"Class\": \"DERMASON\", \"condition_rate\": 0.0}, {\"Class\": \"CALI\", \"condition_rate\": 0.0}, {\"Class\": \"BOMBAY\", \"condition_rate\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5f8cff21ec8680c8f77cb2511091585ce474cbd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:59:08.826159+00:00", + "ended_at": "2026-05-19T15:59:18.894963+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_dafbc827945129aa", + "problem_id": "v2p_n10_0d10fd18e560f754", + "dataset_id": "n10", + "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=Class, condition_col=Class.", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "SIRA", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 62294.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_dafbc827945129aa.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_dafbc827945129aa", + "api_calls": 0, + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 462, + "total_tokens": 15913, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10050.28, + "sql_execution_elapsed_ms_total": 11.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ced70885ea532cf24b6c0de5f28427a376331a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:18.880974+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": 10050.28, "started_at": "2026-05-19T15:59:08.829139+00:00", "ended_at": "2026-05-19T15:59:18.879458+00:00", "prompt_metrics": {"chars": 11150, "bytes_utf8": 11150, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 453, "bytes_utf8": 453, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15451, "cached_input_tokens": 14720, "output_tokens": 462, "reasoning_output_tokens": 336}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n AVG(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because the grouping and condition use the same column, the SIRA group returns 1.0 and all other groups return 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fce1dd3362c890301295c5e3904b73da80262c1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_dafbc827945129aa", + "api_calls": 0, + "input_tokens": 15451, + "cached_input_tokens": 14720, + "output_tokens": 462, + "total_tokens": 15913, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10050.28, + "sql_execution_elapsed_ms_total": 11.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ec5c1c4a7f48becb025cb6cf4781523e3d5b7b02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_dbc96f2a7064f294 +-- problem_id: v2p_n10_aa974c9df1eff895 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "AspectRation", + COUNT(*) AS support, + AVG("MinorAxisLength") AS avg_response +FROM "n10" +GROUP BY "AspectRation" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9479e654c77dbe13bd186a01eabe9449267b1cd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/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_d\n-- sql_source_dataset_id: n10\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_n10_dbc96f2a7064f294\n-- problem_id: v2p_n10_aa974c9df1eff895\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"AspectRation\",\n COUNT(*) AS support,\n AVG(\"MinorAxisLength\") AS avg_response\nFROM \"n10\"\nGROUP BY \"AspectRation\"\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_d\\n-- sql_source_dataset_id: n10\\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_n10_dbc96f2a7064f294\\n-- problem_id: v2p_n10_aa974c9df1eff895\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"AspectRation\\\",\\n COUNT(*) AS support,\\n AVG(\\\"MinorAxisLength\\\") AS avg_response\\nFROM \\\"n10\\\"\\nGROUP BY \\\"AspectRation\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"AspectRation\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3b3360525332963231980cde5daf148df55ae059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T16:05:40.880927+00:00", + "ended_at": "2026-05-19T16:05:40.893109+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_dbc96f2a7064f294", + "problem_id": "v2p_n10_aa974c9df1eff895", + "dataset_id": "n10", + "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=MinorAxisLength, key_col=AspectRation.", + "bindings": { + "key_col": "AspectRation", + "measure_col": "MinorAxisLength", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_dbc96f2a7064f294.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_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dbc96f2a7064f294/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_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..037a61c82fd119bd91d0864c741b5a3799687bb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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=Class, measure_col=ShapeFactor2. +Result preview: [{"Class": "DERMASON", "group_value": 7.662118003656603}, {"Class": "SEKER", "group_value": 5.149894924808287}, {"Class": "SIRA", "group_value": 4.435447180214106}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..667df2e191d477c0220b703d233b13c0dd46fe0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_ddc6dc41ca77afca +-- problem_id: v2p_n10_1cba8731bcf5f795 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Class", SUM(CAST("ShapeFactor2" AS REAL)) AS group_value + FROM "n10" + WHERE "Class" IS NOT NULL + AND "ShapeFactor2" IS NOT NULL + GROUP BY "Class" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Class", 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_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..129aa2f35079ba8b35eb4698bc7cbb802bb03bf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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 \"Class\", SUM(CAST(\"ShapeFactor2\" AS REAL)) AS group_value\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"ShapeFactor2\" IS NOT NULL\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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 \\\"Class\\\", SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ShapeFactor2\\\" IS NOT NULL\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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\": [\"Class\", \"group_value\"], \"rows\": [{\"Class\": \"DERMASON\", \"group_value\": 7.662118003656603}, {\"Class\": \"SEKER\", \"group_value\": 5.149894924808287}, {\"Class\": \"SIRA\", \"group_value\": 4.435447180214106}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..522071ef59528888d7623112f47421c163e714c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:47:42.378732+00:00", + "ended_at": "2026-05-19T15:47:53.599341+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_ddc6dc41ca77afca", + "problem_id": "v2p_n10_1cba8731bcf5f795", + "dataset_id": "n10", + "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=Class, measure_col=ShapeFactor2.", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor2", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_ddc6dc41ca77afca.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ddc6dc41ca77afca", + "api_calls": 0, + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 537, + "total_tokens": 16065, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11195.64, + "sql_execution_elapsed_ms_total": 17.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..291bf80d8e0b274aa33264e8cb14ee454c7bc62f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:53.579276+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": 11195.64, "started_at": "2026-05-19T15:47:42.382077+00:00", "ended_at": "2026-05-19T15:47:53.577768+00:00", "prompt_metrics": {"chars": 11459, "bytes_utf8": 11459, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 668, "bytes_utf8": 668, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15528, "cached_input_tokens": 14720, "output_tokens": 537, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Class\\\", SUM(CAST(\\\"ShapeFactor2\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ShapeFactor2\\\" IS NOT NULL\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor2\\\". CAST to REAL is applied because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b05bd990bc8f09841bc84555bf01fe2487143768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ddc6dc41ca77afca", + "api_calls": 0, + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 537, + "total_tokens": 16065, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11195.64, + "sql_execution_elapsed_ms_total": 17.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f97b2c9c004975dcbd9c503bfb336cef94b1f768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10888, "bytes_utf8": 10888, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15386, "cached_input_tokens": 0, "output_tokens": 184, "reasoning_output_tokens": 88}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3c4d9ac70c6cb1a878c1a90ac20fba96abef49df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_df6fd1e9f13e6fa9", + "api_calls": 0, + "input_tokens": 15386, + "cached_input_tokens": 0, + "output_tokens": 184, + "total_tokens": 15570, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7764.21, + "sql_execution_elapsed_ms_total": 6.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1bb7095801ddecf0d8460b317279c2b5f51f05a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/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": "2026-05-19T15:28:18.602074+00:00", + "ended_at": "2026-05-19T15:28:26.366315+00:00", + "elapsed_ms": 7764.21, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 705, + "bytes_utf8": 705, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 352, + "bytes_utf8": 352, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15386, + "cached_input_tokens": 0, + "output_tokens": 184, + "reasoning_output_tokens": 88 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5092ad8caab4af68ea4ce82e258a6836c0ddeed1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=Area.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "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": 61332.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..59f2338f41b61c259be1284170ad02f88fc65f74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-2629-7bb3-b778-fb1be3a6c744"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Area\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"Area\\\". CAST(\\\"Area\\\" AS REAL) is applied because the schema stores Area as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15386,"cached_input_tokens":0,"output_tokens":184,"reasoning_output_tokens":88}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21ca1446745fe19e893e5ab50bfbda7b1daf0b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"Area\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped numeric sum template with group_col=\"Class\" and measure_col=\"Area\". CAST(\"Area\" AS REAL) is applied because the schema stores Area as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_df6fd1e9f13e6fa9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72851753e7da78ab2733580ef05b538a24a8978b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11082, "bytes_utf8": 11082, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1786, "bytes_utf8": 1786, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15430, "cached_input_tokens": 14720, "output_tokens": 3321, "reasoning_output_tokens": 2696}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e10c1a2ac3c14d1ad27b38438e734937ae065d17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ec8ca220e2ca3389", + "api_calls": 0, + "input_tokens": 15430, + "cached_input_tokens": 14720, + "output_tokens": 3321, + "total_tokens": 18751, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 46141.66, + "sql_execution_elapsed_ms_total": 58.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..afe473b7ca5b64b40de518901440faa4e8aa5c56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:29.491579+00:00", + "ended_at": "2026-05-19T15:51:15.633270+00:00", + "elapsed_ms": 46141.66, + "prompt_metrics": { + "chars": 11082, + "bytes_utf8": 11082, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2466, + "bytes_utf8": 2466, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1786, + "bytes_utf8": 1786, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15430, + "cached_input_tokens": 14720, + "output_tokens": 3321, + "reasoning_output_tokens": 2696 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f57ef5a8450c8f48baa9de791f0503d40be15bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=Eccentricity.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc108d1e8d922689c913dcd6b57f48a9760d98cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-7486-7ba3-b656-a1cb61d87d3e"} +{"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 \\\"Class\\\",\\n CAST(\\\"Eccentricity\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Eccentricity\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Eccentricity\\\" IS NOT NULL\\n AND TRIM(\\\"Eccentricity\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Class\\\",\\n \\\"cnt\\\",\\n (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"pos\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) +\\n CASE\\n WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) > CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"p\\\".\\\"Class\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\",\\n \\\"lo\\\".\\\"measure\\\" AS \\\"lower_val\\\",\\n \\\"hi\\\".\\\"measure\\\" AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS \\\"p\\\"\\n JOIN \\\"ordered\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"Class\\\" = \\\"p\\\".\\\"Class\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"p\\\".\\\"lower_rn\\\"\\n JOIN \\\"ordered\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"Class\\\" = \\\"p\\\".\\\"Class\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"p\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 percentile per \\\"Class\\\" with window functions and linear interpolation, casting TEXT-stored \\\"Eccentricity\\\" values to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15430,"cached_input_tokens":14720,"output_tokens":3321,"reasoning_output_tokens":2696}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d563f70db22e34476a27e63321186c4358f600c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point.\nWITH \"ordered\" AS (\n SELECT\n \"Class\",\n CAST(\"Eccentricity\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"Eccentricity\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"n10\"\n WHERE \"Eccentricity\" IS NOT NULL\n AND TRIM(\"Eccentricity\") <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"Class\",\n \"cnt\",\n (0.9 * (\"cnt\" - 1) + 1.0) AS \"pos\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"lower_rn\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) +\n CASE\n WHEN (0.9 * (\"cnt\" - 1) + 1.0) > CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n \"p\".\"Class\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\",\n \"lo\".\"measure\" AS \"lower_val\",\n \"hi\".\"measure\" AS \"upper_val\"\n FROM \"positions\" AS \"p\"\n JOIN \"ordered\" AS \"lo\"\n ON \"lo\".\"Class\" = \"p\".\"Class\"\n AND \"lo\".\"rn\" = \"p\".\"lower_rn\"\n JOIN \"ordered\" AS \"hi\"\n ON \"hi\".\"Class\" = \"p\".\"Class\"\n AND \"hi\".\"rn\" = \"p\".\"upper_rn\"\n)\nSELECT\n \"Class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 percentile per \"Class\" with window functions and linear interpolation, casting TEXT-stored \"Eccentricity\" values to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ec8ca220e2ca3389/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..daf3f36b11963a46164ce8655cc22d31ccd8b528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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=Class, measure_col=Eccentricity. +Result preview: [{"Class": "HOROZ", "percentile_measure": 0.8931860799599202}, {"Class": "CALI", "percentile_measure": 0.8476774756682821}, {"Class": "BOMBAY", "percentile_measure": 0.8295971714080097}, {"Class": "SIRA", "percentile_measure": 0.8186030163911502}, {"Class": "BARBUNYA", "percentile_measure": 0.8180653339890803}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..be37d371ddeb446b7b7b1161f38a034160a952b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_ecc3a5a087e198c6 +-- problem_id: v2p_n10_210f361e61d89399 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Class", + CAST("Eccentricity" AS REAL) AS "percentile_measure", + ROW_NUMBER() OVER ( + PARTITION BY "Class" + ORDER BY CAST("Eccentricity" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Class" + ) AS "cnt" + FROM "n10" + WHERE "Class" IS NOT NULL + AND "Eccentricity" IS NOT NULL +) +SELECT + "Class", + "percentile_measure" +FROM "ranked" +WHERE "rn" = CAST(((("cnt" * 95) + 99) / 100) AS INT) +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bda8a629c340127e5867c9645d44d5c00117b6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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 \"Class\",\n CAST(\"Eccentricity\" AS REAL) AS \"percentile_measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Class\"\n ORDER BY CAST(\"Eccentricity\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Class\"\n ) AS \"cnt\"\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"Eccentricity\" IS NOT NULL\n)\nSELECT\n \"Class\",\n \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST((((\"cnt\" * 95) + 99) / 100) AS INT)\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"Eccentricity\\\" AS REAL) AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Eccentricity\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Eccentricity\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST((((\\\"cnt\\\" * 95) + 99) / 100) AS INT)\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"HOROZ\", \"percentile_measure\": 0.8931860799599202}, {\"Class\": \"CALI\", \"percentile_measure\": 0.8476774756682821}, {\"Class\": \"BOMBAY\", \"percentile_measure\": 0.8295971714080097}, {\"Class\": \"SIRA\", \"percentile_measure\": 0.8186030163911502}, {\"Class\": \"BARBUNYA\", \"percentile_measure\": 0.8180653339890803}, {\"Class\": \"DERMASON\", \"percentile_measure\": 0.7964104574317039}, {\"Class\": \"SEKER\", \"percentile_measure\": 0.6946400282483277}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 62.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6d46ffe8b2315c37bb7f4fe161407419034415a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:51:15.695077+00:00", + "ended_at": "2026-05-19T15:51:47.567185+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_ecc3a5a087e198c6", + "problem_id": "v2p_n10_210f361e61d89399", + "dataset_id": "n10", + "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=Class, measure_col=Eccentricity.", + "bindings": { + "group_col": "Class", + "measure_col": "Eccentricity", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.791788, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_d/n10/sql/v2q_n10_ecc3a5a087e198c6.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ecc3a5a087e198c6", + "api_calls": 0, + "input_tokens": 15430, + "cached_input_tokens": 14720, + "output_tokens": 1780, + "total_tokens": 17210, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31804.13, + "sql_execution_elapsed_ms_total": 62.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fa83a7fcf6cc0b035088a89dd39dd9e634679f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:47.503315+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": 31804.13, "started_at": "2026-05-19T15:51:15.697977+00:00", "ended_at": "2026-05-19T15:51:47.502146+00:00", "prompt_metrics": {"chars": 11086, "bytes_utf8": 11086, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 778, "bytes_utf8": 778, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15430, "cached_input_tokens": 14720, "output_tokens": 1780, "reasoning_output_tokens": 1540}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n CAST(\\\"Eccentricity\\\" AS REAL) AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Class\\\"\\n ORDER BY CAST(\\\"Eccentricity\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"Eccentricity\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST((((\\\"cnt\\\" * 95) + 99) / 100) AS INT)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT, so this uses a nearest-rank 95th percentile point per \\\"Class\\\" with window functions and casts \\\"Eccentricity\\\" from TEXT to REAL.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1cf584d2bae3323479424f4c8406f5d0ec2061c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ecc3a5a087e198c6", + "api_calls": 0, + "input_tokens": 15430, + "cached_input_tokens": 14720, + "output_tokens": 1780, + "total_tokens": 17210, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31804.13, + "sql_execution_elapsed_ms_total": 62.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/conversation.jsonl new file mode 100644 index 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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": 318, "bytes_utf8": 318, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15396, "cached_input_tokens": 12032, "output_tokens": 242, "reasoning_output_tokens": 148}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5a0b5f7d65a30010addf5576123b3d53ca9d698c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_eedc3f441e84dfba", + "api_calls": 0, + "input_tokens": 15396, + "cached_input_tokens": 12032, + "output_tokens": 242, + "total_tokens": 15638, + "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": 10819.39, + "sql_execution_elapsed_ms_total": 7.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83961545732788b25c86a09565c18d1795b47e82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:26.356080+00:00", + "ended_at": "2026-05-19T16:02:29.454608+00:00", + "elapsed_ms": 3098.5, + "returncode": 1, + "prompt_metrics": { + "chars": 10885, + "bytes_utf8": 10885, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f83bbe3771cedf1ac2a14030101bc405bf95ca4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:30.456789+00:00", + "ended_at": "2026-05-19T16:02:38.177728+00:00", + "elapsed_ms": 7720.89, + "prompt_metrics": { + "chars": 10885, + "bytes_utf8": 10885, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 683, + "bytes_utf8": 683, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 318, + "bytes_utf8": 318, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15396, + "cached_input_tokens": 12032, + "output_tokens": 242, + "reasoning_output_tokens": 148 + } + }, + "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_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..51b5ed357a451ef72702abd22e03646b275b7f1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..51b5ed357a451ef72702abd22e03646b275b7f1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "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": 0.00217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30bd670fde70920a761d2cb6d1982846ed25642f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-64a5-7a61-bdc8-0c790c148da2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3fba38ddbd4f2ada1fa4094de567f7d5e0259e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-64a5-7a61-bdc8-0c790c148da2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21a44d8ef9a9b5a7b7fef522060d81671f911503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-74cb-7422-a231-b12d3f69a085"} +{"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 \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 10;\",\"notes\":\"Applied the planned Low-Support Group Count template with group_col bound to \\\"Class\\\" on the single table \\\"n10\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15396,"cached_input_tokens":12032,"output_tokens":242,"reasoning_output_tokens":148}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e55758478153890409680ea2363ead25b24b3d61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS \"support\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"support\" ASC, \"Class\"\nLIMIT 10;","notes":"Applied the planned Low-Support Group Count template with group_col bound to \"Class\" on the single table \"n10\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_eedc3f441e84dfba/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c631ff8e4b41dac258ddcc30e09a80c798ba2f63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10889, "bytes_utf8": 10889, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 339, "bytes_utf8": 339, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15386, "cached_input_tokens": 0, "output_tokens": 220, "reasoning_output_tokens": 127}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb8c1e6abd65f29bdff53359b65b185809e720ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_f12f8b46147e5fc0", + "api_calls": 0, + "input_tokens": 15386, + "cached_input_tokens": 0, + "output_tokens": 220, + "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": 8533.6, + "sql_execution_elapsed_ms_total": 6.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..44a674e3d31429032ba483353ac717eeafc3976d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/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": "2026-05-19T15:28:26.378449+00:00", + "ended_at": "2026-05-19T15:28:34.912077+00:00", + "elapsed_ms": 8533.6, + "prompt_metrics": { + "chars": 10889, + "bytes_utf8": 10889, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 693, + "bytes_utf8": 693, + "lines": 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": 15386, + "cached_input_tokens": 0, + "output_tokens": 220, + "reasoning_output_tokens": 127 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12a8f005e238317336d5128f4e65792915fb3805 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Class, measure_col=Area.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Class", + "measure_col": "Area", + "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": 52697.4, + "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 + }, + "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_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3374d584c89080c42c9e0de1eb3a1d778d278ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-4429-7fe3-8c43-fe66e1260a69"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Class\\\", SUM(CAST(\\\"Area\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"Class\\\" and measure_col=\\\"Area\\\". Cast \\\"Area\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15386,"cached_input_tokens":0,"output_tokens":220,"reasoning_output_tokens":127}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3a37c1659087a22cc43c0775f25288966eb583c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"Area\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY total_measure DESC;","notes":"Used the provided grouped numeric sum template with group_col=\"Class\" and measure_col=\"Area\". Cast \"Area\" 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_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f12f8b46147e5fc0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb8cc6a01d11f50bc91721a836b5698e082e0660 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11459, "bytes_utf8": 11459, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 14720, "output_tokens": 455, "reasoning_output_tokens": 256}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..17d44e5f0f22f542108acc5a3847c821c930dbdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_f8381e4c9893649e", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 455, + "total_tokens": 15979, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12429.35, + "sql_execution_elapsed_ms_total": 14.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..78a4ccfba96eae15187e73489b06ee849975432a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:06.931394+00:00", + "ended_at": "2026-05-19T15:47:19.360793+00:00", + "elapsed_ms": 12429.35, + "prompt_metrics": { + "chars": 11459, + "bytes_utf8": 11459, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1117, + "bytes_utf8": 1117, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 697, + "bytes_utf8": 697, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 455, + "reasoning_output_tokens": 256 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dc246b26d6512ee68f364477df8b579f5a5461c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=Compactness.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "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": 0.820544, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..49fbac8d53510f3c7b00009936e3b9618a2e1532 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-5d9e-7292-a0dc-775b2f4de8c7"} +{"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 \\\"Class\\\", SUM(CAST(\\\"Compactness\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Class\\\", 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 required Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\", measure_col=\\\"Compactness\\\", and fraction_threshold=0.05. Cast \\\"Compactness\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15524,"cached_input_tokens":14720,"output_tokens":455,"reasoning_output_tokens":256}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f241636ef794c662fde4232c1e77d6f57926dcc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"Class\", SUM(CAST(\"Compactness\" AS REAL)) AS \"group_value\"\n FROM \"n10\"\n GROUP BY \"Class\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"Class\", 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 required Relative-to-Total Extreme Threshold template with group_col=\"Class\", measure_col=\"Compactness\", and fraction_threshold=0.05. Cast \"Compactness\" 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_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f8381e4c9893649e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7913e6b84b39d744be414448a88d236ee4e159d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=EquivDiameter. +Result preview: [{"Class": "BOMBAY", "avg_measure": 468.94142629436743}, {"Class": "CALI", "avg_measure": 309.53528029418203}, {"Class": "BARBUNYA", "avg_measure": 297.3110175410416}, {"Class": "HOROZ", "avg_measure": 260.7307145551539}, {"Class": "SIRA", "avg_measure": 238.3353157967416}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a971e01bd282f1c44781920cb901f94bdaec342 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n10_f9bd8eff0b2bbbe8 +-- problem_id: v2p_n10_1207fc0a5f181ec6 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "Class", + AVG(CAST(NULLIF("EquivDiameter", '') AS REAL)) OVER (PARTITION BY "Class") AS avg_measure +FROM "n10" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60f03e1ea67738f8e1343f13071025ec29316f65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/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 \"Class\",\n AVG(CAST(NULLIF(\"EquivDiameter\", '') AS REAL)) OVER (PARTITION BY \"Class\") AS avg_measure\nFROM \"n10\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Class\\\",\\n AVG(CAST(NULLIF(\\\"EquivDiameter\\\", '') AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"Class\", \"avg_measure\"], \"rows\": [{\"Class\": \"BOMBAY\", \"avg_measure\": 468.94142629436743}, {\"Class\": \"CALI\", \"avg_measure\": 309.53528029418203}, {\"Class\": \"BARBUNYA\", \"avg_measure\": 297.3110175410416}, {\"Class\": \"HOROZ\", \"avg_measure\": 260.7307145551539}, {\"Class\": \"SIRA\", \"avg_measure\": 238.3353157967416}, {\"Class\": \"SEKER\", \"avg_measure\": 224.94844088022901}, {\"Class\": \"DERMASON\", \"avg_measure\": 201.68381303914242}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 55.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..85ca1b9baf0a29bf938342d28abe9f3cb89bbc0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:43:09.798553+00:00", + "ended_at": "2026-05-19T15:43:21.091834+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_f9bd8eff0b2bbbe8", + "problem_id": "v2p_n10_1207fc0a5f181ec6", + "dataset_id": "n10", + "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=Class, measure_col=EquivDiameter.", + "bindings": { + "group_col": "Class", + "measure_col": "EquivDiameter", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 279.446467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=55" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_d/n10/sql/v2q_n10_f9bd8eff0b2bbbe8.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_f9bd8eff0b2bbbe8", + "api_calls": 0, + "input_tokens": 15400, + "cached_input_tokens": 14720, + "output_tokens": 332, + "total_tokens": 15732, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11232.07, + "sql_execution_elapsed_ms_total": 55.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e62ef0194cad83c34e9a67f420acabe64674920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:21.034535+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": 11232.07, "started_at": "2026-05-19T15:43:09.801049+00:00", "ended_at": "2026-05-19T15:43:21.033152+00:00", "prompt_metrics": {"chars": 10990, "bytes_utf8": 10990, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 436, "bytes_utf8": 436, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15400, "cached_input_tokens": 14720, "output_tokens": 332, "reasoning_output_tokens": 216}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Class\\\",\\n AVG(CAST(NULLIF(\\\"EquivDiameter\\\", '') AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"EquivDiameter\\\". Casted \\\"EquivDiameter\\\" from TEXT to REAL and used NULLIF to avoid treating empty strings as 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..db6da124c27d297627899fdcd9137190cb437e69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_f9bd8eff0b2bbbe8", + "api_calls": 0, + "input_tokens": 15400, + "cached_input_tokens": 14720, + "output_tokens": 332, + "total_tokens": 15732, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11232.07, + "sql_execution_elapsed_ms_total": 55.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..816cf459992b08c26090722e1fadb88bd2560712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11453, "bytes_utf8": 11453, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 584, "bytes_utf8": 584, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 14720, "output_tokens": 444, "reasoning_output_tokens": 285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31925e8f601871cfcb67f3eeda587f7f712170d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/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": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_f9fa2920ae1a4bb1", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 444, + "total_tokens": 15968, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9911.56, + "sql_execution_elapsed_ms_total": 10.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e9b3ecc24d6c048985f11cae05bfca679b670c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/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": "2026-05-19T15:46:18.995712+00:00", + "ended_at": "2026-05-19T15:46:28.907309+00:00", + "elapsed_ms": 9911.56, + "prompt_metrics": { + "chars": 11453, + "bytes_utf8": 11453, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 955, + "bytes_utf8": 955, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 584, + "bytes_utf8": 584, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15524, + "cached_input_tokens": 14720, + "output_tokens": 444, + "reasoning_output_tokens": 285 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cae79d8d6b91b0b1c700fbaf48c5cf813fef35f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +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": "n10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class, measure_col=Solidity.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "Solidity", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.989386, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1edd13c6f29e799d0e3099425c718dc0213b33ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-a205-7f20-8801-5b1feb74643b"} +{"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 \\\"Class\\\", SUM(CAST(\\\"Solidity\\\" AS REAL)) AS group_value\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Class\\\", 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 required template with group_col=\\\"Class\\\" and measure_col=\\\"Solidity\\\"; cast \\\"Solidity\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15524,"cached_input_tokens":14720,"output_tokens":444,"reasoning_output_tokens":285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c2af2435c8860a489bd923ae475e615a476f66c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Class\", SUM(CAST(\"Solidity\" AS REAL)) AS group_value\n FROM \"n10\"\n GROUP BY \"Class\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Class\", 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 required template with group_col=\"Class\" and measure_col=\"Solidity\"; cast \"Solidity\" 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_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9fa2920ae1a4bb1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddf7d85f2801db7d155fbe0d87e2da00c774ed79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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=Class, condition_col=Class. +Result preview: [{"Class": "SIRA", "condition_ratio": 0.0}, {"Class": "BARBUNYA", "condition_ratio": null}, {"Class": "BOMBAY", "condition_ratio": null}, {"Class": "CALI", "condition_ratio": null}, {"Class": "DERMASON", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bb196d586fac12c9807b1d1e4bbfb9159452bc2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_fbc308a0016be70c +-- problem_id: v2p_n10_458c45963f5d95a2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Class", + SUM(CASE WHEN "Class" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Class" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count + FROM "n10" + GROUP BY "Class" +) +SELECT + "Class", + 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_d/n10/artifacts/v2q_n10_fbc308a0016be70c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..554c92fbbf78bf64e8519446abe2eef80192ca92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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\n \"Class\",\n SUM(CASE WHEN \"Class\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Class\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n10\"\n GROUP BY \"Class\"\n)\nSELECT\n \"Class\",\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\\n \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Class\", \"condition_ratio\"], \"rows\": [{\"Class\": \"SIRA\", \"condition_ratio\": 0.0}, {\"Class\": \"BARBUNYA\", \"condition_ratio\": null}, {\"Class\": \"BOMBAY\", \"condition_ratio\": null}, {\"Class\": \"CALI\", \"condition_ratio\": null}, {\"Class\": \"DERMASON\", \"condition_ratio\": null}, {\"Class\": \"HOROZ\", \"condition_ratio\": null}, {\"Class\": \"SEKER\", \"condition_ratio\": null}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9d319b994b2439c03bde994758f5c507dbf7268b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:39:01.723679+00:00", + "ended_at": "2026-05-19T15:39:12.206837+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_fbc308a0016be70c", + "problem_id": "v2p_n10_458c45963f5d95a2", + "dataset_id": "n10", + "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=Class, condition_col=Class.", + "bindings": { + "group_col": "Class", + "condition_col": "Class", + "condition_value": "DERMASON", + "positive_value": "DERMASON", + "negative_value": "SIRA", + "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": 0.810466, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_d/n10/sql/v2q_n10_fbc308a0016be70c.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_fbc308a0016be70c", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 457, + "total_tokens": 16057, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10461.14, + "sql_execution_elapsed_ms_total": 14.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..005943371d7845cc36364003ccc2fe37c3add5bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:12.189646+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": 10461.14, "started_at": "2026-05-19T15:39:01.726820+00:00", "ended_at": "2026-05-19T15:39:12.188062+00:00", "prompt_metrics": {"chars": 11713, "bytes_utf8": 11713, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 791, "bytes_utf8": 791, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 12032, "output_tokens": 457, "reasoning_output_tokens": 249}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"Class\\\",\\n SUM(CASE WHEN \\\"Class\\\" = 'DERMASON' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Class\\\" = 'SIRA' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n10\\\"\\n GROUP BY \\\"Class\\\"\\n)\\nSELECT\\n \\\"Class\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the requested grouped-ratio template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\". Because the grouping column and condition column are the same, only the 'DERMASON' and 'SIRA' groups can produce nonzero numerator or denominator counts; other classes will return NULL ratios via NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f01180b67734e19e26847c1285ad750ac845ad56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_fbc308a0016be70c", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 457, + "total_tokens": 16057, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10461.14, + "sql_execution_elapsed_ms_total": 14.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0eba2bf861a2918eb35b764a15d99582ba4f289f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/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=Class, measure_col=Compactness. +Result preview: [{"Class": "BOMBAY", "ShapeFactor1": "3.6393166728403781E-3", "total_measure": 0.9063150418293681, "share_within_group": 0.2190497705673748}, {"Class": "BOMBAY", "ShapeFactor1": "3.1401950298288752E-3", "total_measure": 0.895518804453044, "share_within_group": 0.21644039831696923}, {"Class": "BOMBAY", "ShapeFactor1": "3.3928959525953446E-3", "total_measure": 0.8899818556597197, "share_within_group": 0.21510215796251933}, {"Class": "BOMBAY", "ShapeFactor1": "3.1252993370199035E-3", "total_measure": 0.8800444513066912, "share_within_group": 0.2127003594232693}, {"Class": "BOMBAY", "ShapeFactor1": "3.3312532344474486E-3", "total_measure": 0.8777177041934572, "share_within_group": 0.21213800152585047}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..24428797d3a7214e5858858d8ba30d17cab1844f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n10 +-- 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_n10_ffb1e01c75d5c8f8 +-- problem_id: v2p_n10_989093ffc32a5527 +-- realization_mode: agent +-- source_kind: agent +SELECT "Class", "ShapeFactor1", + SUM(CAST("Compactness" AS REAL)) AS total_measure, + SUM(CAST("Compactness" AS REAL)) * 100.0 / SUM(SUM(CAST("Compactness" AS REAL))) OVER (PARTITION BY "Class") AS share_within_group +FROM "n10" +GROUP BY "Class", "ShapeFactor1" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5dfb14fbe194849faf326c860c8ba4b184cc993 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/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 \"Class\", \"ShapeFactor1\",\n SUM(CAST(\"Compactness\" AS REAL)) AS total_measure,\n SUM(CAST(\"Compactness\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Compactness\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor1\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"Class\\\", \\\"ShapeFactor1\\\",\\n SUM(CAST(\\\"Compactness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Compactness\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Compactness\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor1\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Class\", \"ShapeFactor1\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.6393166728403781E-3\", \"total_measure\": 0.9063150418293681, \"share_within_group\": 0.2190497705673748}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.1401950298288752E-3\", \"total_measure\": 0.895518804453044, \"share_within_group\": 0.21644039831696923}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3928959525953446E-3\", \"total_measure\": 0.8899818556597197, \"share_within_group\": 0.21510215796251933}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.1252993370199035E-3\", \"total_measure\": 0.8800444513066912, \"share_within_group\": 0.2127003594232693}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3312532344474486E-3\", \"total_measure\": 0.8777177041934572, \"share_within_group\": 0.21213800152585047}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.2751513354793691E-3\", \"total_measure\": 0.8678160325380213, \"share_within_group\": 0.2097448393203786}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5023050874404358E-3\", \"total_measure\": 0.8669264083959553, \"share_within_group\": 0.20952982361919656}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3216783382793089E-3\", \"total_measure\": 0.859499936630257, \"share_within_group\": 0.20773489927024424}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"2.9849434345394148E-3\", \"total_measure\": 0.8589228241688823, \"share_within_group\": 0.20759541537510715}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.213661662030427E-3\", \"total_measure\": 0.858885946528408, \"share_within_group\": 0.20758650231694065}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5979424517471798E-3\", \"total_measure\": 0.8575070842752506, \"share_within_group\": 0.20725324131358305}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3982717100333143E-3\", \"total_measure\": 0.8554906632347865, \"share_within_group\": 0.2067658869766305}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.0307101974791548E-3\", \"total_measure\": 0.8506110708470166, \"share_within_group\": 0.2055865248964803}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3229482615767169E-3\", \"total_measure\": 0.8505201299999726, \"share_within_group\": 0.20556454515349823}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5294777102890178E-3\", \"total_measure\": 0.8479399037318924, \"share_within_group\": 0.20494092318326806}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.2388495346037383E-3\", \"total_measure\": 0.8472252752365934, \"share_within_group\": 0.20476820266036888}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.0800669625052975E-3\", \"total_measure\": 0.846884827973373, \"share_within_group\": 0.20468591902669092}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.2158398631565738E-3\", \"total_measure\": 0.8467698381216172, \"share_within_group\": 0.2046581268137383}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.2315712559071097E-3\", \"total_measure\": 0.8467033876903985, \"share_within_group\": 0.20464206622659062}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5516322173193759E-3\", \"total_measure\": 0.8464911844087842, \"share_within_group\": 0.20459077823289537}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3309808725842699E-3\", \"total_measure\": 0.8459335524047882, \"share_within_group\": 0.20445600262298183}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.4124863355191209E-3\", \"total_measure\": 0.845146513569627, \"share_within_group\": 0.20426578104625318}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"2.7780126683855494E-3\", \"total_measure\": 0.844992422222756, \"share_within_group\": 0.20422853828560078}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.9591703429639998E-3\", \"total_measure\": 0.8440940266680944, \"share_within_group\": 0.20401140259762837}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3732535717502449E-3\", \"total_measure\": 0.8439014192376466, \"share_within_group\": 0.20396485077899806}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.4190820293479376E-3\", \"total_measure\": 0.8438552542583657, \"share_within_group\": 0.2039536930384189}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.7609579107919394E-3\", \"total_measure\": 0.8435409563001609, \"share_within_group\": 0.20387772950205788}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3975232666948628E-3\", \"total_measure\": 0.8433415971795973, \"share_within_group\": 0.20382954584890806}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.6772148373950741E-3\", \"total_measure\": 0.8433225301191916, \"share_within_group\": 0.20382493747873376}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.4221654331688029E-3\", \"total_measure\": 0.8432824083343855, \"share_within_group\": 0.2038152403344176}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5274104969668157E-3\", \"total_measure\": 0.8427382094195894, \"share_within_group\": 0.2036837114047107}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.1327949722780332E-3\", \"total_measure\": 0.8423516252323336, \"share_within_group\": 0.20359027681120287}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.4081893820766492E-3\", \"total_measure\": 0.8421152777792434, \"share_within_group\": 0.20353315334642058}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.6953372239709875E-3\", \"total_measure\": 0.8420888612308193, \"share_within_group\": 0.20352676865831057}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"2.9744233565702285E-3\", \"total_measure\": 0.8406255882118973, \"share_within_group\": 0.20317310618524234}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3617012472813121E-3\", \"total_measure\": 0.8402043832663335, \"share_within_group\": 0.20307130400561468}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5959772150091105E-3\", \"total_measure\": 0.8400695152069261, \"share_within_group\": 0.20303870737408308}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.1588030254831225E-3\", \"total_measure\": 0.8397608434210728, \"share_within_group\": 0.2029641036427632}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.6252471476067188E-3\", \"total_measure\": 0.8386384861687336, \"share_within_group\": 0.20269283803723678}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.4511016422297601E-3\", \"total_measure\": 0.8384661452852766, \"share_within_group\": 0.20265118449598649}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.6614042819635424E-3\", \"total_measure\": 0.8380765649137917, \"share_within_group\": 0.20255702574648687}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.7428959658333083E-3\", \"total_measure\": 0.8380406068643725, \"share_within_group\": 0.2025483349468071}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3496101540424509E-3\", \"total_measure\": 0.8363637685266027, \"share_within_group\": 0.20214305528552545}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.6217346101826719E-3\", \"total_measure\": 0.8363338762067216, \"share_within_group\": 0.20213583052866999}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.7418792203118638E-3\", \"total_measure\": 0.8361356176634502, \"share_within_group\": 0.20208791287706734}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.3942409588508019E-3\", \"total_measure\": 0.8359715972770856, \"share_within_group\": 0.20204827033960152}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.5108360132555015E-3\", \"total_measure\": 0.8356345464586248, \"share_within_group\": 0.20196680760198177}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.128015233084004E-3\", \"total_measure\": 0.8352657254026318, \"share_within_group\": 0.20187766622843398}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.2606323393196716E-3\", \"total_measure\": 0.8349162463246056, \"share_within_group\": 0.20179319967064055}, {\"Class\": \"BOMBAY\", \"ShapeFactor1\": \"3.1371115434811721E-3\", \"total_measure\": 0.8347300403905417, \"share_within_group\": 0.20174819504724528}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 67.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..725ecde109e79ca27e192c82e48a9e7b229e2379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n10", + "started_at": "2026-05-19T15:35:05.148920+00:00", + "ended_at": "2026-05-19T15:35:19.789198+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n10_ffb1e01c75d5c8f8", + "problem_id": "v2p_n10_989093ffc32a5527", + "dataset_id": "n10", + "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=Class, measure_col=Compactness.", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "item_col": "ShapeFactor1", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.820544, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/sql/v2q_n10_ffb1e01c75d5c8f8.sql", + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ffb1e01c75d5c8f8", + "api_calls": 0, + "input_tokens": 15508, + "cached_input_tokens": 12032, + "output_tokens": 599, + "total_tokens": 16107, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14567.07, + "sql_execution_elapsed_ms_total": 67.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd9798156e96f408dadc982477220df457d22995 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:19.719788+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": 14567.07, "started_at": "2026-05-19T15:35:05.151583+00:00", "ended_at": "2026-05-19T15:35:19.718688+00:00", "prompt_metrics": {"chars": 11319, "bytes_utf8": 11319, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 633, "bytes_utf8": 633, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15508, "cached_input_tokens": 12032, "output_tokens": 599, "reasoning_output_tokens": 428}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"Class\\\", \\\"ShapeFactor1\\\",\\n SUM(CAST(\\\"Compactness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Compactness\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Compactness\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor1\\\", and measure_col=\\\"Compactness\\\". Cast \\\"Compactness\\\" to REAL because the schema stores numeric-looking values as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d6f15ea84fb0224cbdd95791661a9713cfa3cc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_ffb1e01c75d5c8f8", + "api_calls": 0, + "input_tokens": 15508, + "cached_input_tokens": 12032, + "output_tokens": 599, + "total_tokens": 16107, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14567.07, + "sql_execution_elapsed_ms_total": 67.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file